Academic Model Answers Library — Megaminds (UK Postgraduate)

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Managing Customer Experience 2,500 words

Customer Experience Strategy: Critical Evaluation of a Global Mobile Phone Brand

This assessment requires a 2,500-word business report critically evaluating the customer experience (CX) strategy of one company operating within the global mobile phone industry. Students must select one company from Samsung, Apple, Huawei or Google and analyse its customer experience strategy within one specific country in which the company operates. The report is written from the perspective of a CX consultant and is intended for the Board of Directors of the selected company. Relevant customer experience concepts, academic literature and practical business applications should be incorporated throughout the report. The first part of the report examines the concept of customer experience and its importance to business success. The analysis should consider the role of CX, the mutual benefits created for the company and its customers, the effect of CX on business and financial performance, and specific examples of how the selected brand has used customer experience to achieve competitive advantage. The second part evaluates how the selected company delivers a seamless omnichannel customer experience. This requires consideration of customer personas and customer journey mapping and their contribution to developing an effective customer strategy. Students must create a detailed customer persona based on research and data analysis, covering the profile, goals, pain points and motivations of the selected customer. A customer journey map should then identify stages, needs, activities, feelings, pain points and opportunities for improvement. The report should evaluate the effectiveness of the company's customer journey and suggest practical improvements. The words contained within the recommended customer persona and customer journey map templates are excluded from the 2,500-word limit. The third part evaluates the effectiveness of the company's use of customer experience metrics to measure the quality of its relationship with customers. Students must discuss three CX metrics covered in the module and critically assess their benefits, limitations and relevance to the selected company. The analysis should explain why these metrics would be useful for measuring the mutually beneficial relationship between the company and its customers. The final part critically reflects on the company's ability to create a customer-centric culture in an increasingly digital environment. This includes evaluating CX leadership and CX governance, as well as one additional critical success factor such as people, CX structure, strategy and process, or innovation. The report should conclude by evaluating the overall quality of the company's relationship with its customers and proposing practical ways to improve customer experience in the era of increasing digitalisation. The assessment addresses four learning outcomes relating to the importance of customer experience, organisational CX performance metrics, seamless omnichannel customer journeys and customer experience strategies in the context of rapid digitalisation. The submission must use Harvard referencing and an academic business-report style.

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Network Systems and Administration 2,500 words

Automated Container Deployment and Administration in the Cloud

This assessment focuses on the practical application of network systems administration, cloud infrastructure and automation technologies. The assignment requires students to design and implement an automated deployment process for a server running a Docker container on a cloud platform such as AWS, Azure or GCP. The assessment develops practical understanding of infrastructure automation, configuration management, containerisation and continuous integration and continuous deployment (CI/CD). The project requires the integration of at least two automation tools from technologies such as Terraform, AWS CloudFormation, Ansible, Azure DevOps, GitHub and GitHub Actions. The first stage involves provisioning the required cloud infrastructure, including a server instance, networking components and appropriate security configurations. Students must provide Terraform scripts, CloudFormation templates or equivalent infrastructure-as-code configurations together with an architecture diagram showing the deployed resources. The second stage focuses on configuration management. Ansible or an equivalent automation tool is used to configure the server environment, including installing and configuring Docker and ensuring that the required services start automatically. Students must provide the relevant playbooks or configuration scripts and a README explaining the overall automation flow. The assessment then requires students to containerise a sample web application using a Dockerfile and automate the deployment of the resulting Docker container to the provisioned cloud server. A CI/CD pipeline must also be implemented using Azure DevOps or another suitable CI/CD platform. The pipeline should automatically build and deploy the Docker container whenever changes are pushed to a version-control repository such as GitHub. The final stage requires comprehensive technical documentation and reflection on the complete automation process. Students must document the different phases of deployment, explain the rationale for the selected tools, discuss alternative solutions and identify the challenges encountered and how they were addressed. The final report must include a detailed architecture diagram, a GitHub repository containing the required scripts and configurations, and a working link to a demonstration video of the end-to-end deployment. The technical report should be approximately 2,000–2,500 words and include a title page, summary, introduction, main content, conclusions, references and appropriate appendices. The report should use Times New Roman 12-point font with 1.5 line spacing, clear headings, diagrams or flowcharts where appropriate, and Harvard referencing. The assessment is evaluated through the demonstration, report quality and reusable deployment artifacts, with the marking scheme allocating 40% to the demo, 50% to report quality and 10% to artifacts.

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Digital Marketing / Web Design and User Experience 800 words

Digital Marketing Portfolio Website: User Experience, SEO and Professional Digital Branding

This digital marketing assessment requires students to create and launch a fully functional personal portfolio website designed to showcase their professional capabilities, creativity and readiness for employment or client-facing work. The website operates as a digital business card and professional showcase, demonstrating the application of digital marketing strategy, user-centred design, storytelling, usability and digital content creation. Digital Portfolio Website The website must contain a homepage, contact page and portfolio or projects section. The homepage introduces the student and provides an engaging overview of the portfolio, while the contact page includes appropriate professional communication channels such as email or LinkedIn. The projects section must feature approximately three to five digital marketing work samples, which may include mock-ups, content or other digital artefacts. The overall site should demonstrate effective structure, aesthetics, usability and intuitive navigation. Digital Portfolio Website Students must also complete a prescribed LinkedIn Learning course on Wix or WordPress and submit the associated completion certificate. This supports the practical website-development component and demonstrates engagement with contemporary digital-design tools and platforms. Digital Portfolio Website A major component is the reflective rationale, which may be submitted as an 800-word written piece or a four-to-six-minute video commentary. It explains and justifies the design decisions made, the SEO strategies implemented and changes introduced to enhance the user experience. The rationale must be supported by credible sources and demonstrate alignment between theoretical principles and practical design choices. Digital Portfolio Website SEO is explicitly assessed through the effective use of metadata, keywords and image alt text, while design performance also considers originality, calls to action, responsive behaviour, mobile usability and effective use of Wix or WordPress features. The marking structure allocates 20% to website structure and usability, 15% to design and creativity, 15% to SEO, 40% to the reflective rationale, and 10% collectively to the LinkedIn Learning certificate and cover page. Digital Portfolio Website Digital Portfolio Website Overall, the assessment integrates digital marketing, personal branding, web design, UX, SEO, content creation and reflective professional practice. Overview word count: approximately 345 words. AI-use note: this assessment is under Category 1 – Authorised use of AI. AI may be used within platforms such as Wix or WordPress to help create the portfolio, but AI must not be used to write the reflective rationale, which must be composed entirely by the student. Digital Portfolio Website

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500 words

Strategic Digital Marketing Campaign Planning Using the RACE Framework: Cambridge Museum of Technology

This Digital Leadership and Disruptive Innovation assessment requires students to act as digital marketing consultants for the Cambridge Museum of Technology and develop a strategic social media campaign focused on the Reach and Act stages of the RACE framework. The campaign is designed to increase awareness of the museum and encourage meaningful interaction using paid and owned content across Facebook and Instagram. Assessment Brief for CW1 (1) The first deliverable is a two-page landscape campaign poster created in Canva. Page 1 focuses on Reach and should present a clear awareness objective, one Facebook paid advertisement mock-up, and one Instagram owned post. Page 2 focuses on Act and should include an engagement objective, one Instagram paid advertisement and one Facebook owned post. Each mock-up must be clearly labelled by platform, RACE phase and media type. Assessment Brief for CW1 (1) Assessment Brief for CW1 (1) The poster is expected to function as a strategic visual board, rather than a website or social feed simulation. It should demonstrate clear visual hierarchy, logical layout, consistent headings, spacing and alignment, and communicate how the Reach and Act strategies connect. The target audience persona should not appear on the poster itself. Assessment Brief for CW1 (1) The second deliverable is a maximum 500-word written rationale. This should define a relevant target audience persona using demographic, psychographic and behavioural characteristics, and explain needs, motivations and online behaviour. The persona should be visually designed and embedded in the written document. Assessment Brief for CW1 (1) The rationale must also justify the Reach content strategy, including platform choice, content format, targeting and budget considerations, and explain the Act engagement strategy, including tactics such as event promotion, interactive posts and comment prompts. Students should also explain how layout, visual structure and calls-to-action support user experience and engagement. Assessment Brief for CW1 (1) The assessment requires application of relevant digital marketing theories and frameworks and at least five credible academic or industry sources, using Cite Them Right Harvard referencing. Suitable evidence can include peer-reviewed journal articles and recognised sources such as Mintel, Statista and industry reports. Assessment Brief for CW1 (1) The marking scheme gives 30% to Reach, 30% to Act, 20% to the written rationale, and 20% to poster design, communication and professional presentation. Assessment Brief for CW1 (1) Assessment Brief for CW1 (1) Overall, the assessment integrates RACE-based campaign planning, paid and owned social media, audience segmentation, persona development, targeting, budget awareness, content strategy, UX principles and professional visual communication within a real cultural-organisation context. Important: the brief explicitly states that the applicable AI category is Category 2 – Proofreading only permitted, meaning AI may be used for proofreading but not for creating assessment content. Assessment Brief for CW1 (1)

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Marketing / Consumer Marketing 1,987 words

MindBand: A Creative Marketing Plan for a Mental Wellbeing Wearable in the UK Smart Device Market

This postgraduate marketing report develops a creative marketing plan for MindBand, a proposed smart wearable designed to support mental wellbeing and emotional regulation in the UK wearable-device market. The assessment responds to a brief requiring students to identify an unmet product need, create an original product concept and apply strategic marketing principles to establish how the innovation could attract consumers in a highly competitive smart-device industry. Reassessment-Individual Assignm… The analysis identifies a potential gap between mainstream fitness-focused wearables and consumers seeking discreet, everyday support for stress, emotional wellbeing and cognitive fatigue. MindBand is positioned as a minimalist wrist-worn device that uses biometric indicators such as heart-rate variability, skin conductance and temperature to identify stress-related patterns and provide context-sensitive interventions. Unlike conventional wearables that primarily display performance data, the concept emphasises behavioural support, simplicity and low-effort interaction. Creative Marketing Plan for a P… Creative Marketing Plan for a P… The marketing plan targets UK professionals aged approximately 30–55, particularly individuals experiencing high cognitive workloads, digital fatigue and work-life pressures. The proposed value proposition focuses on personalised emotional support, discretion and ease of use rather than extensive fitness functionality. This positioning is reinforced through a calm, trust-oriented brand identity intended to distinguish MindBand from performance-led smartwatch and fitness-tracker brands. Creative Marketing Plan for a P… Creative Marketing Plan for a P… The communications strategy adopts a digital-first approach, using educational content, podcasts, professional experts, thought leadership, paid media and customer testimonials to build credibility and awareness. Distribution is primarily direct-to-consumer through e-commerce, supplemented by partnerships with corporate wellbeing programmes and healthcare providers. A premium-value pricing strategy and optional subscription-based services are proposed to support recurring revenue and continued product development. Creative Marketing Plan for a P… The report also considers performance measurement, brand equity, customer retention, privacy, informed consent and responsible use of biometric data. Overall, the work integrates product innovation, consumer behaviour, segmentation, positioning, communications, pricing, distribution and ethical marketing into a coherent smart-wearable marketing proposal.

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International Business / Strategic Management 200 words

Individual Reflection on Tencent’s Strategic Reorganisation and International Business Strategy

This International Business Strategy assessment is an individual reflective exercise based on a case-study discussion undertaken during Weeks 5–8 of the module. Its purpose is to develop students’ ability to critically reflect on learning experiences and use that reflection to improve future academic and professional performance. Students participate in approximately 30-minute seminar discussions in which theoretical concepts from the module are applied to real-world business cases with tutors and peers. IBS-0901-2025-+Reflection2-Ref For this entry, the selected case is Tencent: “third time lucky?”. The case examines how Tencent evolved from a Chinese instant-messaging company into a major technology group spanning messaging, gaming, entertainment, investment and cloud services. It focuses particularly on three major organisational reorganisations undertaken in 2005, 2012 and 2018 as the company attempted to address increasing organisational complexity, coordination problems, changing technologies and new strategic priorities. The 2005 restructuring responded to Tencent’s growing scale by dividing the organisation into major business and platform-development groups. By 2012, further growth and the success of products such as WeChat had created new organisational complexity, leading to a structure organised around seven distinct business groups. The case highlights that this arrangement subsequently contributed to a “silo culture”, creating difficulties in sharing ideas, data, code and customers across business units. The 2018 reorganisation responded to a strategic shift toward the “industrial internet”, including greater emphasis on cloud services, business-to-business solutions and digital transformation. Tencent reorganised around six major groups, including Cloud and Smart Industries, Platforms and Content, Interactive Entertainment, Corporate Development, WeChat, and Technology and Engineering, while also establishing a technical committee intended to improve internal coordination and data sharing. The case asks students to consider both the strategic rationale for each restructuring and whether the 2018 changes adequately addressed Tencent’s organisational challenges. The reflection itself must be between 150 and 250 words. Students should explain what the week’s topic and case study were about, what they learned from the discussion, how the conversation helped them apply theory to their final report, and what key insights they gained. They should also reflect on what went well, what challenges were encountered and what they would change if repeating the session. At least one reflective framework, such as Gibbs’ Reflective Cycle or Kolb’s Experiential Learning Cycle, must be applied. IBS-0901-2025-+Reflection2-Ref The wider learning outcomes emphasise strategic management theory, internationalisation, internal and external environmental influences, critical analysis of international organisations and the use of analytical tools to evaluate strategic options. The task therefore combines strategic thinking, international business analysis and reflective professional development. IBS-0901-2025-+Reflection2-Ref The accompanying Tencent case specifically asks students to consider why each major reorganisation occurred, whether the 2018 restructuring adequately addressed Tencent’s challenges, and what additional “hard” and “soft” implementation measures might have been necessary. Case+study+7

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Digital Marketing / Marketing Analytics / Data-Driven Marketin

Data-Driven Marketing Analytics: Google Analytics 4 and Google Merchandise Store Campaign Analysis

This Data Driven Marketing assessment requires students to develop practical digital analytics skills and apply them to the evaluation of a real-world marketing campaign. The assessment combines professional training through LinkedIn Learning with a recorded executive-level presentation based on data from the Google Analytics 4 Demo Account for the Google Merchandise Store. The aim is to analyse campaign performance, interpret relevant marketing KPIs and present actionable recommendations that senior executives and managers can use for decision-making. CW 1_ LinkedIn Learning and Rec… The first task requires completion of two LinkedIn Learning courses: Google Analytics 4 (GA4) Essential Training and Advanced Google Analytics. Students must submit the certificates of completion as evidence of developing the foundational and advanced skills required for digital marketing analysis. CW 1_ LinkedIn Learning and Rec… The second task places the student in the role of a digital marketing executive for the Google Merchandise Store. Students select and analyse a digital marketing campaign using GA4 demo-store data and then create a 10-minute recorded presentation, with a tolerance of ±2 minutes, providing evidence-based recommendations for improving campaign performance. CW 1_ LinkedIn Learning and Rec… The main presentation is limited to 12 slides and should include an executive summary, key findings and insights, recommendations, actionable steps, and references or appendix material. An additional 4–6 appendix/reference slides may be used for supporting charts, graphs and data. Recommendations must be linked directly to analytical evidence and aligned with the campaign's overall marketing objectives. CW 1_ LinkedIn Learning and Rec… The analysis should examine relevant marketing performance indicators, including click-through rate, conversion rate, cost per acquisition, return on ad spend and user-engagement measures such as bounce rate, session duration, pages per session and retention patterns. CW 1_ LinkedIn Learning and Rec… Students are expected to move beyond descriptive reporting and develop strategic recommendations concerning budget reallocation, creative optimisation, audience targeting and funnel performance. The presentation should identify underperforming and high-performing channels, evaluate audience segments, examine points of user drop-off and propose practical interventions to improve conversion and campaign efficiency. CW 1_ LinkedIn Learning and Rec… The marking scheme gives 20 points for LinkedIn Learning certification, 35 points for executive communication and structure, 35 points for data analysis and insight generation, and 10 points for references and appendices. CW 1_ LinkedIn Learning and Rec… CW 1_ LinkedIn Learning and Rec… Overall, the assessment integrates GA4 skills, campaign analytics, KPI interpretation, data visualisation, strategic recommendation development and executive presentation skills within a practical digital-marketing context. The brief also requires Cite Them Right Harvard referencing. CW 1_ LinkedIn Learning and Rec…

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Network Systems and Administration / Cloud Computing / DevOps 2,500 words

Automated Container Deployment and Administration in the Cloud

This practical Network Systems and Administration assessment requires students to design and implement an automated cloud deployment workflow using modern DevOps and infrastructure automation technologies. The overall objective is to deploy a cloud-hosted server running a Docker container while integrating at least two automation tools such as Terraform, AWS CloudFormation, Ansible, Azure DevOps, GitHub Actions or GitHub. Students may use a cloud platform such as AWS, Microsoft Azure or Google Cloud Platform. B9IS121 Network Systems and Adm… The first stage focuses on cloud infrastructure provisioning. Students automate the creation of a server instance, such as an AWS EC2 instance or Azure virtual machine, and configure supporting infrastructure including networking and security groups. Infrastructure must be provisioned through tools such as Terraform, GitHub Actions or AWS CloudFormation. The required outputs include reusable infrastructure scripts or templates and an architecture diagram showing the deployed cloud resources. B9IS121 Network Systems and Adm… The second stage addresses configuration management. Students use Ansible or an equivalent automation platform to configure the provisioned server, install Docker and ensure Docker starts automatically when the server boots. Deliverables include Ansible playbooks or equivalent configuration scripts together with a README file explaining the automation workflow. B9IS121 Network Systems and Adm… The third stage requires students to containerise and deploy a web application. A Dockerfile must be created for either an existing or newly developed sample application, and deployment of the resulting container must be automated on the provisioned server. The required artefacts include the Dockerfile, deployment scripts and application repository. B9IS121 Network Systems and Adm… Students must also create a CI/CD pipeline using Azure DevOps or another suitable CI/CD platform. The pipeline should automatically build and deploy the Docker container whenever new code is pushed to a version-control repository such as GitHub. Students must provide the relevant pipeline configuration, normally in YAML, and demonstrate the pipeline operating successfully. B9IS121 Network Systems and Adm… Documentation is an important part of the assessment. Each student produces an independent PDF report explaining every stage of the automation process, challenges encountered and how those challenges were resolved. A 10-minute walkthrough video must demonstrate the complete end-to-end deployment, and the report must contain a detailed architecture diagram. B9IS121 Network Systems and Adm… The technical report should include a title page, summary, introduction, main technical content, conclusion, references and appropriate appendices. Students are expected to justify the tools selected and critically discuss alternative solutions, advantages and limitations. The report is expected to contain approximately 2,000–2,500 words and should use clear headings, diagrams or flowcharts where relevant, and academic or professional sources such as journal articles, whitepapers, DevOps documentation and industry reports. B9IS121 Network Systems and Adm… B9IS121 Network Systems and Adm… The marking scheme allocates 40% to the demonstration, 50% to report quality and 10% to technical artefacts. Higher-performing submissions are expected to show a working deployment, clear justification of technical actions, strong understanding of automation tools, professional report structure, consistent referencing and reusable scripts that reproduce the same deployment results. B9IS121 Network Systems and Adm… The final submission includes a comprehensive PDF report of approximately 5–8 pages, a detailed README, and links to the relevant scripts, configurations and deployment evidence. B9IS121 Network Systems and Adm…

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Strategic Management / Sustainability / Responsible Leadership 2,500 words

Organisational Strategy and Sustainability: Strategic Evaluation of Engineers & Planners Company Ltd

This Consultancy Project Proposal assessment requires students to develop a professional and feasible research proposal addressing a current organisational issue or business challenge affecting an existing organisation. The work combines critical business analysis with research design, secondary-data methodology, ethics and visual communication through an accompanying one-page digital poster. MSc Management Summative Assess… The first task requires students to introduce the selected organisation and critically examine between one and three current challenges. The discussion must be evidence-based and supported by recent sources. Stronger work should connect the identified issues to current affairs, recent news, Sustainable Development Goals and relevant academic or company evidence. MSc Management Summative Assess… The second task requires development of a clear research aim, three objectives and, for stronger submissions, one or two research questions. Students must demonstrate awareness and application of research methodology using secondary research only, while incorporating both qualitative and quantitative approaches. The research design should be directly connected to the selected organisational challenges. MSc Management Summative Assess… The third task focuses on the research plan and ethical considerations. Students must explain ethical issues associated with secondary-data collection and support the discussion using credible literature. The accompanying poster should present a coherent research plan and demonstrate effective data-analysis and data-presentation skills through relevant graphs, charts, tables or descriptive statistics. MSc Management Summative Assess… The fourth task assesses the student's ability to critically organise and synthesise information into a coherent proposal. The written report should use recent, credible sources, while the poster should include a short reflection on challenges encountered when synthesising evidence for the proposed study. MSc Management Summative Assess… The report must be written in the third person and use Harvard referencing. The proposed structure allocates approximately 150 words to the introduction, 400 words to the challenge discussion, 150 words to the research aim and objectives, 500 words to methodology, 200 words to ethical considerations and 100 words to the conclusion. The digital poster has no formal word count but must fit on a single A4 page and use a readable 10–12 point font. MSc Management Summative Assess… MSc Management Summative Assess… Overall, the assessment develops skills in consultancy problem definition, research design, secondary-data analysis, mixed-method thinking, ethical research practice, critical synthesis and professional visual communication.

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Data Science / Time Series Analysis / Machine Learning

Time Series Modelling Case Study: Oil Price Forecasting with ARMA and Alternative Models

This Time Series Modelling Case Study requires students to analyse real-world oil-price time-series data and develop forecasting models capable of predicting future values. The assessment combines traditional statistical time-series techniques with an alternative forecasting approach, requiring students to demonstrate practical modelling skills, critical research engagement and evidence-based interpretation of forecasting results. The coursework is completed individually and contributes 40% of the assessment. assing,,, (1) The assessment is divided into three main parts. Part 1 focuses on developing an ARMA-based forecasting model using daily oil-price data covering approximately 2024 to 2026. Students begin with exploratory data analysis and initial visualisation before testing whether the time series is stationary. Where necessary, appropriate transformations or differencing must be applied to obtain stationarity. Students then define an ARMA model and identify suitable p, d and q parameters using an AIC-based model-selection procedure across the parameter ranges specified in the brief. assing,,, (1) Model adequacy must be assessed using diagnostic analysis. Students inspect residuals, generate additional ACF plots, examine residual distributions and evaluate prediction performance using appropriate metrics such as RMSE. The selected model is then used to forecast oil prices 24 months into the future, with appropriate confidence intervals added to communicate forecast uncertainty. assing,,, (1) Part 2 requires students to research and implement an alternative forecasting approach. Suggested examples include LSTM and Prophet, although another appropriate model may be proposed. Students conduct a literature review supporting the alternative method, build and where relevant hyperparameter-tune the model, generate another 24-month forecast, visualise predictions and confidence intervals, and calculate suitable evaluation metrics. This component is intended to demonstrate independent research and the ability to propose an alternative solution rather than relying only on the conventional ARMA approach. assing,,, (1) Part 3 consists of a 6–8 page technical report explaining the modelling process, forecasting results and resulting inferences. The report should provide a critical analysis rather than simply reproducing numerical outputs. Students are expected to explain why results occurred, justify modelling choices, evaluate how those choices influenced performance, compare forecasts with subsequently observed real data where possible, and construct a coherent narrative supported by plots, images, summary statistics and academic literature. Future improvements to the modelling approach should also be critically discussed. assing,,, (1) Submission consists of both the report and working code. The code may be submitted directly or through an accessible Colab or GitHub repository and must reproduce all models, figures and numerical results presented in the report. The assessment allocates 60% of the marks to code and 40% to the report. Within the coding component, modelling and forecasting completion accounts for 40 marks and code quality and annotation for 20 marks. The report is assessed on analysis and inference, methodological justification, comparison of the two modelling approaches, presentation quality, figures and use of appropriate references. assing,,, (1) Key technical expectations include appropriate testing for stationarity, use of methods such as ADF, ACF, PACF and differencing, systematic model selection, forecasting, evaluation and clear comparison between the traditional ARMA model and the chosen alternative approach. Higher-quality work is expected to interpret what the forecasts mean, identify potential improvements and demonstrate sound technical communication rather than merely reporting model outputs. assing,,, (1) Important for the public Reference Library: the brief explicitly states that students must not use generative AI to write the report, and the rubric indicates that AI text-generation use may result in zero marks for the whole assignment. Therefore, the public entry should remain a high-level description of the assessment rather than material intended for direct submission. assing,,, (1)

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Supply Chain Operations and Logistics Management 3,000 words

Critical Review of Global Logistics: Supply Chain Strategy, Resilience and Sustainability

This postgraduate logistics assessment requires students to conduct a critical review of the global logistics operations and strategies of a selected multinational manufacturing organisation. The chosen company must operate internationally and have sufficient publicly available information to support detailed academic and industry research. The report examines how global manufacturers structure, manage and improve their upstream and downstream logistics channels in increasingly complex and uncertain supply-chain environments. Component_2_NBS_7054A_25_Report… The first part analyses the organisation’s upstream and downstream logistics channels and evaluates the logistics strategies it has adopted. Particular attention is given to how the organisation responded to disruption caused by the COVID-19 pandemic. Students examine how supply-chain networks were reconfigured and how logistics strategies were adapted to maintain operations, while explicitly relating these responses to relevant performance objectives and supply-chain dimensions. Component_2_NBS_7054A_25_Report… The second part focuses on value creation within global logistics networks. Students evaluate how supply-chain intermediaries contribute to value co-creation while balancing operational costs and reducing waste or Muda. The analysis also considers how communication and information sharing support the objectives of the organisation’s marketing channel network and identifies lessons learned from pandemic-related disruption. Component_2_NBS_7054A_25_Report… The final section examines how the organisation can strengthen the sustainability of its logistics operations. Students assess the feasibility of aligning circular economy principles and Industry 4.0 technologies with existing inbound and outbound logistics activities. Relevant issues include reduced material use, reuse, repair, refurbishment, alternative transport modes, carbon-footprint reduction and environmental efficiency. Students must also recommend operational decisions that apply innovation-led lean approaches to sustainability initiatives. Component_2_NBS_7054A_25_Report… The marking criteria place 25% of the assessment on logistics theories and strategies, 35% on value co-creation, communication and resilient logistics networks, and 40% on circular economy, Industry 4.0 and sustainability recommendations. Marking_Criteria_NBS_7054A_25_R… Overall, the assessment integrates global logistics strategy, resilience, lean operations, digitalisation, sustainability and evidence-based supply-chain decision-making within a real organisational case study. Overview word count: approximately 340 words.

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Web Applications / Artificial Intelligence / Software Development

Smart Clinic Appointment and Patient Management System with AI-Based Demand Prediction

This Web Applications and AI coursework requires students to design, implement and evaluate a Smart Clinic Appointment & Patient Management System for a small healthcare clinic. The application combines conventional web-development functionality with an artificial-intelligence component for predicting appointment demand. The system is expected to use Java EE technologies, including Java Servlets, JSP, Web Services and JDBC, together with a relational database such as MySQL or PostgreSQL. f3855340dabd17407efd386c38cfdc3… The patient-facing side of the application should allow users to browse and search clinic services by department or specialty, price, availability and duration. Patients must be able to view detailed service information, select a clinician where appropriate, choose an available date and time, enter their details and confirm an appointment. The system should also provide a booking reference and basic appointment-history functionality. f3855340dabd17407efd386c38cfdc3… The administrative interface focuses on operational management. Staff should be able to add, update and remove services, configure consultation duration and pricing, manage clinician working hours and appointment-slot availability, and generate basic reports. f3855340dabd17407efd386c38cfdc3… A separate machine-learning component requires students to implement appointment-demand prediction using WEKA regression embedded in Java. The provided sample dataset contains Year, Month, Promotions Cost and Booking Requests. Students must expand this dataset to at least 60 realistic rows, including seasonal changes and plausible variation in marketing expenditure and demand. A regression model is then trained to predict booking requests for the following year based on promotional spending, including estimation of future demand if promotions expenditure increases by 10%. f3855340dabd17407efd386c38cfdc3… The assessment also requires evidence of professional software-development practice. Students must provide application-design artefacts such as design patterns, ER diagrams, wireframes and sketches, document the development process, demonstrate correct use of JSP, Servlets, Web Services and JDBC, and provide evidence of implementation through code, database content and screenshots. Regular GitHub commits are required to demonstrate ongoing development. f3855340dabd17407efd386c38cfdc3… f3855340dabd17407efd386c38cfdc3… The final submission includes a DOCX or PDF report containing system-design and implementation information, links to a private GitHub repository and a demonstration video of no more than five minutes. The assessment is classified as Green for AI use, meaning AI tools may support tasks such as generating example datasets, suggesting code snippets and brainstorming features or tests, provided their use is clearly declared in the report. f3855340dabd17407efd386c38cfdc3… Overall, the coursework integrates full-stack Java web development, relational database design, web services, software engineering and machine-learning regression within a healthcare appointment-management scenario. Important: the uploaded brief states that it is for Coventry University Group students' own use and must not be passed to third parties or posted publicly. f3855340dabd17407efd386c38cfdc3… So for a public Reference Library, use an original summary like the one above rather than publishing the original brief itself.

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Digital Transformation / Management and Leadership 1,500 words

Leading Through Digital Change: Digital Transformation Strategy, Emerging Technologies and Leadership

This postgraduate assessment requires students to act as a Digital Transformation Consultant and evaluate how a selected organisation should respond to accelerating technological change. Students choose one organisation from the options provided in the brief and prepare a Digital Transformation Report and accompanying poster designed to recommend changes that can help the organisation maintain competitive advantage and create business value. Summative_Assessment_Leading_Th… The first section focuses on a Digital Transformation Strategic Framework. Students must critically review and apply one recognised framework, choosing from the McKinsey 4Ds, BCG 3 Stages, Gartner’s 6 Steps or Cognizant’s 4 Pillars. The analysis should identify appropriate digital-transformation objectives and explain how these can support business functions such as operations, ICT and marketing. Higher-level work is expected to move beyond description and critically evaluate recent digital initiatives and organisational challenges. Summative_Assessment_Leading_Th… The second component is an A4 poster examining future digital trends. Students must evaluate two disruptive technologies or techniques likely to influence the relevant industry, employment and the labour market over the next five years. Suggested technologies include artificial intelligence and machine learning, 5G connectivity, IoT, robotics, drone delivery, blockchain, augmented reality and virtual reality. Academic literature and real-world examples are expected to support the evaluation. Summative_Assessment_Leading_Th… The third section addresses Digital Leadership. Students analyse and recommend two leadership styles that could support organisational transformation. Relevant approaches may include hyperaware agile leadership, ethical-tech leadership, people-oriented leadership, agile leadership and Goleman’s leadership styles. The analysis should explain how leadership capabilities can support collaboration, organisational networks and people during digital change. Summative_Assessment_Leading_Th… The final submission should contain a clear introduction, conclusion and Harvard-referenced evidence, and must be written in the third person with professional academic presentation. Summative_Assessment_Leading_Th… Overview word count: approximately 330 words.

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Cyber Security / Digital Forensics 3,877 words

Digital Forensics Investigation: USB, Memory and Windows Registry Analysis

This Digital Forensics Investigation Report presents a multi-source forensic examination involving removable media, volatile memory and a Windows disk image. The work is undertaken within an MSc Cyber Security context and demonstrates the application of forensic procedures, specialist analysis tools and evidential reasoning to investigate suspected criminal and malicious activity. The report places particular emphasis on maintaining evidence integrity, reconstructing activity across different forensic sources and correlating artefacts to produce defensible investigative findings. DF_Report_Sathiyaprakash The first part investigates a FAT32 USB forensic image associated with suspected video piracy and other potentially criminal activity. The examination uses tools including FTK Imager, Autopsy, Sleuth Kit, ewfmount, cryptographic hashing utilities and VeraCrypt. The methodology includes pre- and post-examination hash verification, read-only mounting, filesystem enumeration, deleted-file analysis and low-level sector examination. The investigation identifies deleted artefacts, portable anti-forensic utilities, browser evidence and an encrypted VeraCrypt container concealed within unallocated disk space. DF_Report_Sathiyaprakash The USB investigation also demonstrates the importance of evidence integrity and chain of custody. MD5 and SHA-256 hashes are used to establish and later confirm the integrity of forensic copies, while analysis is conducted without modifying the original evidence. The report examines filesystem structures, deleted files, anti-forensic tooling and encrypted data and records evidence handling through a formal chain-of-custody process. DF_Report_Sathiyaprakash DF_Report_Sathiyaprakash The second part focuses on volatile-memory forensics using a Windows memory image. Volatility 3 is used to identify the operating-system profile, reconstruct process hierarchies, inspect process ownership and security identifiers, and extract suspicious process memory. Particular attention is given to AtomicService.exe, which is observed running with SYSTEM privileges and associated with the Atomic Red Team framework and MITRE ATT&CK technique T1543.003 – Windows Service. The investigation also considers PowerShell activity, process execution timelines and indicators of suspicious behaviour. DF_Report_Sathiyaprakash DF_Report_Sathiyaprakash The third part conducts Windows Registry forensic analysis on the WinRegEvidenceP3.vhd image. Registry artefacts are examined using RegRipper, with analysis covering SYSTEM, SOFTWARE, SAM and NTUSER.DAT hives. The investigation evaluates system configuration, user accounts, application execution and persistence evidence using artefacts such as Run keys, BAM, Prefetch and scheduled tasks. These findings are then correlated with evidence recovered from volatile memory to reconstruct the sequence of suspicious activity. DF_Report_Sathiyaprakash Across the report, evidence from disk, memory and the Windows Registry is combined to reconstruct malicious activity and identify persistence mechanisms, elevated processes, suspicious user accounts and adversary-simulation tools. The analysis maps relevant behaviour to the MITRE ATT&CK framework and considers both technical findings and their evidential significance. The report therefore demonstrates practical competence in forensic acquisition principles, artefact analysis, timeline reconstruction, malware and process investigation, evidence correlation and professional reporting. Important for the Reference Library: this upload contains an actual student name on the cover page and detailed case evidence. Since your Reference Library says there is no student record behind uploaded past work, I would use the generic title and overview above rather than copying the student-identifying cover-page information into the public metadata. DF_Report_Sathiyaprakash

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Artificial Intelligence / International Business 3,000 words

AI Innovation Consultancy: Evaluating Artificial Intelligence Solutions for Business Problems

This individual consultancy assessment requires students to act as an AI Innovation Consultant and evaluate how artificial intelligence could address a significant real-world business problem. Students select one industry—such as healthcare, retail, FinTech, manufacturing or agriculture—and concentrate on a single clearly defined organisational challenge rather than comparing multiple sectors. Potential issues include long waiting times, high operating costs, fraud and risk, poor customer experience or inefficient supply chains. The report develops a practical AI solution by identifying suitable technologies such as machine learning, natural language processing or computer vision and explaining how they would operate within the chosen organisational context. Students are not required to build an AI system; instead, the emphasis is on demonstrating business-level technical understanding, critical thinking and the ability to assess whether the proposed technology can realistically integrate with existing organisational processes. The analysis considers the capabilities and limitations of AI, technical feasibility, integration requirements and the skills or organisational capabilities required for implementation. Students must also critically examine ethical, legal and social implications, including issues such as algorithmic bias, transparency, accountability, privacy and regulatory obligations such as UK GDPR. Appropriate risk-mitigation measures should be proposed. A substantial element of the report develops the business case for AI adoption. Students evaluate implementation costs and expected benefits, estimate return on investment, identify assumptions and commercial risks, and assess the overall strategic value of the solution to the organisation. The report concludes with clear recommendations, implementation priorities and a final judgement on whether the proposed AI initiative is feasible and worthwhile. The assessment places strong emphasis on critical analysis, technical understanding, business acumen and professional communication. Students are expected to support arguments with credible academic, industry and government evidence and include at least two professional visualisations such as frameworks, diagrams or tables. Harvard referencing is required throughout. Overview word count: approximately 330 words. The brief also allows authorised use of generative AI for idea generation, drafting/structuring and proofreading, provided the student verifies accuracy, references appropriately and submits the required GenAI declaration.

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Cyber Security / Applied Cryptography / Secure Systems Design 2,500 words

Secure Property Contract Exchange: Cryptographic Protocol Design, Threat Modelling and Post-Quantum Readiness

This Applied Theory of Cyber Security and Secure Design coursework places students in the role of a cyber security consultant engaged by Hackit & Run LLP, a legal firm specialising in UK and international property transactions. The firm wishes to implement a secure digital system for handling, exchanging and legally signing property contracts. Students must design and evaluate a secure communication protocol supporting interactions between the buyer’s solicitor, the seller’s solicitor and the buyer while addressing both first-time communications and previously established secure relationships. 11b17febb9eeb4570f76f6ca95a831a… Section A – Cryptographic Protocol Design, worth 45%, requires a complete secure communication protocol. Students must explain how trust is initially established, how later communications can be simplified without weakening confidentiality, integrity or availability, and how the buyer can digitally sign a contract in a manner enforceable under UK law. The design must justify specific cryptographic algorithms for functions such as key exchange, bulk encryption, digital signatures and hashing. The protocol must be presented through both a sequence diagram showing message flows and cryptographic operations and pseudocode explaining the key algorithmic stages. 11b17febb9eeb4570f76f6ca95a831a… Section B – Threat Modelling, worth 20%, requires a focused analysis using the STRIDE methodology. Students identify three realistic threats from different STRIDE categories and analyse the attack vector, asset at risk and potential effect on the legal transaction. Each threat must then be connected back to specific protocol defences, with residual risks acknowledged where controls cannot provide complete mitigation. The guidance encourages consideration of issues such as social engineering, insider threats, key-management failures and availability risks in addition to purely cryptographic attacks. 11b17febb9eeb4570f76f6ca95a831a… Section C – Security Evaluation Against Standards, worth 15%, requires students to evaluate the proposed system against a recognised cybersecurity standard or framework. Options include ISO/IEC 27001:2022, Common Criteria (ISO/IEC 15408) and the OWASP Application Security Verification Standard. Students select three or four directly relevant controls or requirements, assess whether the proposed design satisfies them, identify gaps and recommend specific improvements. 11b17febb9eeb4570f76f6ca95a831a… Section D – Post-Quantum Readiness and Critical Reflection, worth 15%, examines how a future quantum-capable adversary could affect the protocol. Students identify vulnerable cryptographic components, discuss the NIST Post-Quantum Cryptography standardisation programme, and examine replacement algorithms such as ML-KEM for key establishment and ML-DSA for digital signatures. They must also evaluate a hybrid migration strategy combining classical and post-quantum algorithms, considering performance overhead, backward compatibility and the legal admissibility of post-quantum digital signatures. 11b17febb9eeb4570f76f6ca95a831a… The remaining 5% evaluates professional report quality, logical structure, technical language, integration of diagrams and consistent CUHarvard referencing. Higher-quality work is expected to demonstrate a sophisticated trust model, clear traceability between threats and controls, precise standards mapping, practical security recommendations and well-evidenced analysis of post-quantum migration. 11b17febb9eeb4570f76f6ca95a831a… Important for the public Reference Library: the brief states that the assessment document is intended only for Coventry University Group students and must not be passed to third parties or posted on any website. Therefore, publish only an original high-level description such as the overview above; do not upload or reproduce the original assignment brief publicly. 11b17febb9eeb4570f76f6ca95a831a…

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3,000 words

ParkaLot Enterprise Parking Garage Management System: Software Analysis, Design and Prototype Development

This enterprise software engineering project requires students to analyse, design and prototype a centralised parking garage management system for ParkaLot Group, a UK operator of multi-storey parking facilities. The existing organisation relies heavily on manual processes, local spreadsheets and simple barrier-based vehicle counts, resulting in limited real-time occupancy information, inconsistent reservation arrangements, decentralised billing and reduced ability to optimise parking capacity and revenue. COMP1471 CW 2526 (1) The proposed system supports ParkaLot’s wider digital transformation by integrating customer registration, reservations, parking-space allocation, occupancy monitoring, contracts and billing. Customers can check availability and reserve parking through an online portal, while frequent and corporate users can establish recurring arrangements or block reservations. License-plate recognition and individual parking-space sensors enable automated access control and real-time occupancy tracking. COMP1471 CW 2526 (1) Additional functionality includes centralised electronic billing, dynamic pricing, promotional schemes and predictive decision-making for controlled overbooking. Historical usage data may be analysed to estimate no-shows, early departures and overstays, while operational dashboards support staffing, pricing and capacity-management decisions across the garage network. COMP1471 CW 2526 (1) Development is undertaken in two phases. The first uses structured analysis and design, requiring an Entity Relationship Diagram, Data Flow Diagram including a context diagram, and implementation of a prototype database. The second expands the solution using object-oriented analysis and UML, with emphasis on adaptable and reusable software design. COMP1471 CW 2526 (1) The final report covers the software-engineering **5 Ps—Problem, Process, Project, Product and People—**alongside ERD and DFD models, UML use cases, at least three sequence diagrams, a detailed class diagram and application of design patterns such as GRASP. Students must also submit prototype evidence, source code, personal reflection, peer assessment and work-contribution documentation. COMP1471 CW 2526 (1) Overall, the assessment integrates requirements engineering, structured modelling, object-oriented design, database development, design patterns, software project management, implementation and acceptance testing within a realistic enterprise-system case study. Overview word count: approximately 360 words. AI-use note: the brief permits Levels 1–4 of generative-AI use, including research and exploration at Level 4, but all final submitted text, code, diagrams and designs must be the students’ own work. Level 4 use requires disclosure, an appendix of prompts/outputs and reflective commentary. COMP1471 CW 2526 (1)

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Data Science / Data Analytics

Airline Passenger, Ticket Price and Revenue Analysis Using Python

This applied Data Science project requires students to use Python to analyse passenger demand, ticket prices and airline revenues across the period 2021–2023. Two datasets are provided: one containing daily passenger counts and revenue or average-price information for 2021 and 2022, and another containing a representative sample of individual journeys made during 2023. The datasets may include domestic, European and intercontinental routes as well as standard/economy and business/club travel classes. 202526_SmallProject_semB Students must develop Python code that reads the assigned datasets and produces a series of analytical visualisations. A core requirement is to plot daily passenger numbers for economy and business classes across all three years, combining scatter plots with smoothed trend lines. The smoothing must be calculated using the first eight terms of a Fourier series through the supplied scrfft.py module. 202526_SmallProject_semB Further analysis examines changes in average ticket prices, including monthly comparisons across 2021, 2022 and 2023, together with annual average prices that incorporate revenue generated from additional services such as seat reservations and extra baggage. 202526_SmallProject_semB A fourth analysis is personalised according to the final digit of the student's ID. Depending on the allocated task, students may investigate weekly journey distributions, seasonal travel patterns, price-versus-distance relationships, business and economy class behaviour, additional-service revenues, weekend journeys or linear relationships between selected variables. Three additional numerical values, labelled X, Y and Z, must also be calculated according to the assigned scenario. 202526_SmallProject_semB The final report must include four figures, relevant mathematical formulae and a critical discussion of the findings. Students are expected to interpret trends in passenger numbers, prices, revenues, seasonal patterns and airline profitability rather than simply presenting calculations. The report is limited to five A4 pages, while the Python source code and report are submitted separately. 202526_SmallProject_semB Overview word count: approximately 330 words. Note: the university name is not printed directly in the visible assignment heading, but the submission instructions use a herts.ac.uk module-leader address and StudyNet/Canvas, which identifies the institution as the University of Hertfordshire. 202526_SmallProject_semB

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Digital Forensics / Cyber Security 3,000 words

Digital Forensics Investigation of a USB Device: Evidence Acquisition, Analysis and Reporting

This Digital Forensics assessment requires students to undertake a simulated professional investigation of a USB storage device while acting as a digital forensic trainee for a fictional forensic-services organisation. The nature of the suspected wrongdoing is initially unknown, requiring the investigator to apply appropriate forensic methodologies, tools and analytical techniques to identify suspicious activity, recover relevant artefacts and determine whether evidence of malicious or unauthorised behaviour exists. 7070SCN_Assessment Brief_2526MA… The investigation begins with authorisation, evidence handling and chain of custody. Students must demonstrate secure receipt and management of the USB device, operate within the authorised scope of the investigation and maintain records covering each stage of the evidence lifecycle. Forensic acquisition requires use and validation of a software write blocker, creation of bit-for-bit forensic images and cryptographic hashing to demonstrate that working and evidential copies maintain integrity. 7070SCN_Assessment Brief_2526MA… The analytical stage involves examination of the working forensic image using appropriate digital-forensic tools. Students investigate file-signature mismatches, password-protected files, registry artefacts, USB history, user activity, metadata and timeline relationships. Where suspicious executable files are discovered, static and/or dynamic malware analysis may be undertaken. The investigation can therefore span documents, images, applications, executables and registry hives. 7070SCN_Assessment Brief_2526MA… Students must maintain objective and chronological forensic case notes documenting evidence acquisition, preservation, analysis and interpretation. These records should support reproducibility and potential evidential admissibility. The final forensic report summarises findings, explains and justifies the tools and methodologies used, records integrity-verification results, discusses relevant legal, ethical and professional principles and provides appropriate recommendations for further action. 7070SCN_Assessment Brief_2526MA… The assessment also encourages advanced forensic analysis where relevant, including OSINT, password recovery or decryption, data carving, regular-expression searching, advanced registry analysis and static or dynamic malware investigation. Professional practice is assessed through adherence to recognised forensic methodologies, industry best practice, legal and ethical obligations, chain-of-custody records and evidence-handling procedures. 7070SCN_Assessment Brief_2526MA… Overall, the coursework integrates forensic acquisition, evidence preservation, artefact analysis, advanced investigation techniques, professional documentation and legally defensible reporting within a realistic digital-forensics case-study environment. Important for your public Reference Library: this brief explicitly states that it is for Coventry University Group students' own use and must not be passed to third parties or posted on any website. 7070SCN_Assessment Brief_2526MA… So use the metadata and an original high-level overview like the one above, but do not upload or publicly reproduce the assessment brief itself.

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Software Engineering / Object-Oriented Programming / Java Development

Java Group Exercise Booking and Management System for Furzefield Leisure Centre

This software-development coursework requires students to design and implement a Java-based booking and management system for Furzefield Leisure Centre (FLC). The proposed system manages member bookings for group exercise lessons delivered on Saturdays and Sundays. Exercise types can include Yoga, Zumba, Aquacise, Box Fit and Body Blitz, with each lesson accommodating a maximum of four members and carrying an exercise-specific price. 7COM1025 Coursework Explanation… The application must enable members to search the lesson timetable either by day or exercise type and make bookings subject to capacity constraints. Members may book multiple lessons, but duplicate bookings for the same lesson are prohibited. Existing bookings can be changed when capacity is available in the replacement lesson or cancelled before attendance. Successful changes must retain the existing booking ID while releasing the place held in the original lesson. 7COM1025 Coursework Explanation… 7COM1025 Coursework Explanation… After attending a lesson, members can provide a written review and a numerical rating from 1 to 5. Booking statuses should distinguish booked, changed, attended and cancelled reservations. The system must also generate management reports showing attendance and average lesson ratings and identify the exercise type producing the highest income, while listing income generated by each exercise category. 7COM1025 Coursework Explanation… 7COM1025 Coursework Explanation… Students must design at least eight weekends of timetable data, equivalent to 48 lessons, covering at least four exercise types. The program should be self-contained and does not require an external database or security protocol. 7COM1025 Coursework Explanation… The software-engineering component requires a UML class diagram, Java implementation, JUnit testing, version-control evidence and consideration of design principles, design patterns and refactoring. Students submit a PDF report containing the UML diagram and repository evidence, a ZIP containing source code, tests and an executable JAR, and a screen-recording demonstrating the final system. 7COM1025 Coursework Explanation… 7COM1025 Coursework Explanation… Overall, the coursework assesses practical object-oriented software development through system modelling, implementation, validation and reflective documentation. The marking allocates 40 marks to system functionality, 30 to design and implementation, 10 to UML, 10 to JUnit testing, 5 to version control and 5 to report quality. 7COM1025 Coursework Explanation… Note: the uploaded material identifies the code 7COM1025 but does not state the formal module title. I would therefore keep Module name = Not specified rather than inventing one.

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Computer Networks / Network Security / Cloud and Software Defined Networking 3,500 words

Network Systems and Security: Ad Hoc, Cloud and Software Defined Networking Emulation

This Network Systems and Security coursework requires students to design, implement and critically evaluate a series of practical network-emulation environments covering wireless Ad Hoc networking, cloud services and Software Defined Networking (SDN). The project combines Python-based network configuration with practical connectivity testing, cloud deployment, controller-based networking and theoretical evaluation of contemporary network-security technologies. The first task involves designing an Ad Hoc wireless network representing an emergency-response scenario. Students configure at least three wireless stations using Mininet-WiFi, assign appropriate network parameters and demonstrate connectivity through ICMP communication. The task requires discussion of the design and implementation together with the Python script used to configure the emulated environment. 7COM1076+ref+def+CW+2025+26+ The second task focuses on cloud-service emulation. Students develop a simple static website, deploy it through Render.com and GitHub, and access the hosted service from a Mininet-emulated network. Required evidence includes the Python implementation, cloud configuration screenshots, commands used to provide internet connectivity, webpage access through an xterm environment and the associated HTML code. 7COM1076+ref+def+CW+2025+26+ The third practical component examines Software Defined Networking using the ONOS controller. Students construct an emulated topology containing hosts, servers and programmable switches, demonstrate complete ICMP connectivity and perform a TCP transmission lasting 600 seconds. Evidence must include the network-emulation script, ONOS graphical interface and connectivity results. 7COM1076+ref+def+CW+2025+26+ The final analytical section critically evaluates whether Software Defined Networking and Network Functions Virtualisation (NFV) complement one another and examines security algorithms used within cloud computing. Students compare two selected cryptographic approaches, evaluating their respective advantages and disadvantages. 7COM1076+ref+def+CW+2025+26+ Overall, the coursework integrates network modelling, wireless networking, cloud deployment, SDN control, Python scripting, connectivity testing and security analysis. The marking scheme gives substantial weight to system modelling, cloud and SDN implementation, ICMP/TCP functionality, technical analysis and overall report quality. 7COM1076+ref+def+CW+2025+26+

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Business Consultancy / Digital Marketing / Social Media Marketing 3,000 words

You Keep Me Sane: Social Media Growth and Digital Product Marketing Live Business Project

his Extended Work Project is a live business consultancy assignment completed for You Keep Me Sane, a podcast and social-media brand seeking to expand its online audience and increase sales of its digital products. The organisation promotes its podcast across platforms including Instagram, Facebook, TikTok, YouTube and LinkedIn and identified a need for additional support with regular content creation, social-media scheduling and digital-product promotion. Project Brief_You Keep Me Sane … The client challenge focuses on improving the organisation's social-media presence while reducing the workload associated with producing and publishing content. The project brief specifically identifies the need to create reels, carousels and other social-media posts, potentially using Canva, and to support an existing Buffer-based scheduling process. The organisation aims to publish approximately three times per week while also promoting new digital products. The intended commercial outcomes are growth in social-media following and increased digital-product sales. Project Brief_You Keep Me Sane … The academic assessment requires students to document the project journey in chronological order, from the initial client brief and early meetings through planning, research, idea development, feedback, implementation, challenges and final outcomes. The 3,000-word report should explain the business context, methods and frameworks used, significant milestones, problems encountered, adaptations made and recommendations provided to the client. EWP 5TH MAY 2026 (1) EWP 5TH MAY 2026 (1) Professional reflection is also an important element of the project. Students are expected to evaluate team learning, skills development, project-management experience and the practical lessons gained from working on a genuine business challenge. The report should demonstrate critical thinking and reflective analysis rather than simply describing activities completed. EWP 5TH MAY 2026 (1) The accompanying 10-slide presentation mirrors the report and communicates the project overview, organisational background, initial brief, research, development process, challenges, outcomes, recommendations and learning in a concise visual format. EWP 5TH MAY 2026 (1) Overall, the project integrates live business consultancy, social-media strategy, content development, digital-product marketing, client engagement, teamwork, project management and reflective professional learning, with emphasis on demonstrating practical value created for the client organisation.

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Artificial Intelligence / Machine Vision / Computer Vision

Artificial Intelligence and Machine Vision: Neural Network-Based Image Processing Application

This postgraduate Artificial Intelligence and Machine Vision coursework requires students to design, implement and critically evaluate a neural network-based image-processing application addressing a real-world problem. Students may select an application such as medical imaging, plant or fruit classification, skin cancer detection, object detection or image segmentation and must demonstrate an appropriate end-to-end machine vision workflow. CN7023 Coursework T2 25-26 (1) The project begins with a clear definition of the selected real-world problem, the objectives of the proposed solution and its potential practical impact. Students are expected to demonstrate creativity in selecting and designing their approach, explain the neural-network or image-processing methods adopted and justify why the selected techniques are suitable for the chosen dataset and application. CN7023 Coursework T2 25-26 (1) A substantial component focuses on simulation and implementation. Students describe the dataset, including its source, size, classes and representative images, before explaining how image data were encoded and preprocessed for use within the chosen neural network. The report must then document the selected network architecture, learning algorithm and procedures used for training, validation and testing. CN7023 Coursework T2 25-26 (1) Model performance must be communicated using quantitative and visual evidence. Required outputs include test-set accuracy, accuracy curves across training, validation and testing, and a confusion matrix supported by appropriate explanation. Students must also critically analyse the results, identify factors affecting model performance and discuss alternative methods or simulation changes that could improve the solution. CN7023 Coursework T2 25-26 (1) The coursework permits several technical routes, including combining image processing with artificial neural networks, deep learning or computer vision, or focusing on one of these approaches independently. Development may be completed using MATLAB or Python. The wider module covers artificial neural networks, CNNs, digital image processing, image restoration, compression, segmentation, classification and ethical, legal, privacy and social issues associated with AI systems. CN7023 Coursework T2 25-26 (1) Module handbook 2526-B (1) Overview word count: approximately 335 words. Important note: the coursework cover page labels the assignment as “Individual Assignment 100%,” but the module handbook clarifies that the coursework report itself contributes 50% of the module, with the remaining marks allocated to MATLAB course completion (20%), lab tasks (15%) and presentation (15%). For the Reference Library, I would use the handbook’s 50% report weighting if you need to record the assessment contribution.

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Leadership / Digital Leadership / Business Management 4,000 words

Leadership in a Digital Age: Critical Self-Analysis, AI Transformation and Personal Development

This Leadership in a Digital Age assessment requires students to critically analyse their leadership strengths, behaviours and development needs within contemporary digital environments. The individual 4,000-word report combines academic leadership theory, diagnostic self-assessment, professional reflection, digital transformation and forward-looking personal development. Its central purpose is to demonstrate self-awareness and evaluate how leadership capabilities must evolve in response to technological, organisational and workforce change. NUL Assessment Brief LD7090 202… The first section requires critical evaluation of two or three contemporary leadership theories or models in relation to digital leadership. Students should avoid outdated approaches and instead examine how relevant theories align with the behaviours and characteristics required of leaders operating in technology-enabled organisations. NUL Assessment Brief LD7090 202… The second section focuses on self-analysis. Students use diagnostic tools relating to areas such as temperament, workplace culture, motivation, emotional control, management skills and Belbin team roles. Results should be reported and interpreted before being used to construct a personal SWOT analysis concentrating specifically on leadership characteristics relevant to the digital age. NUL Assessment Brief LD7090 202… A further component examines the leadership of hybrid, multi-generational teams. Students identify challenges that may arise in such environments and evaluate leadership capabilities and behaviours that could address them. Ethical, social and legal responsibilities associated with digital leadership must also be considered. NUL Assessment Brief LD7090 202… The report additionally evaluates how digital leaders can use Artificial Intelligence to support digital transformation and organisational performance. Appropriate workplace examples may involve machine learning, predictive analytics, intelligent automation or generative AI, with consideration of required resources such as data infrastructure, organisational skills and external partnerships. NUL Assessment Brief LD7090 202… The final section requires a Personal Development Plan containing justified leadership-development objectives, learning activities, measurable success criteria and timescales. These objectives should emerge directly from the earlier self-analysis and demonstrate how the student intends to become a more effective leader in a current or future digital role. NUL Assessment Brief LD7090 202… Overall, the assessment integrates leadership theory, reflective self-evaluation, hybrid-team management, AI-driven transformation and structured professional development within the context of leadership in the digital age.

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Cyber Security

Contextual Risk Assessment and Policy to Address Information Security within Supplier Agreements

This assignment focuses on the development of a contextual risk assessment and an information security policy addressing security requirements within supplier agreements for Heathrow Airport Holdings (LHR). The assessment is an individual postgraduate task worth 60% of the module and requires students to apply information security risk assessment methods, security standards and policy development techniques to a realistic organisational scenario. The assignment is based on a cyber-attack affecting Heathrow and other European airports in September 2025, where disruption to a third-party cloud-based check-in and baggage system affected airport and airline operations. The scenario highlights the security risks associated with interconnected systems, third-party suppliers and dependence on critical digital services. Students are required to assume the role of a new Chief Information Security Officer (CISO) at Heathrow Airport Holdings and investigate the organisation, its environment and the relevant threat landscape. The task requires the development of a clear organisational context, including appropriate assumptions, followed by an asset-based information security risk assessment. The risk assessment should identify and prioritise relevant risks and support the selection of controls needed to manage residual information security risks. The main policy component requires students to develop an “Information Security within Supplier Agreements” policy aligned with the ISO 27000 family. The policy should establish clear security responsibilities between LHR and its suppliers and address the protection of information assets, legal and regulatory requirements, and supplier-related security obligations. Particular attention is required for confidentiality, integrity and availability, together with ISO 27002 controls relating to information security policies and supplier agreements. The assignment also requires consideration of acceptable use of information and other assets, information classification and information labelling. The final submission consists of a cover page, context establishment, an asset-based risk assessment, the supplier information security policy, references and supporting appendices. The context establishment is limited to a maximum of two pages or 1,000 words, while the policy is limited to three pages or 1,500 words. The risk assessment is completed using the supplied template. Students are also required to provide evidence and commentary concerning the development and tailoring of the policy when using an approved AI tool, together with a self-written evaluation addressing strengths, weaknesses, privacy, GDPR and ethical considerations. The assessment is marked across context establishment, asset-based risk assessment, the information security within supplier agreements policy, and presentation, design and references. At least 20 authentic references, including standards and papers accessed through the University library, are required.

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Digital Marketing

Three Weekly Digital Marketing Tutorial Challenges

This assessment consists of three weekly digital marketing tutorial challenges designed to develop practical skills in digital marketing, consumer insights, content creation, inclusive communication, ethical storytelling and campaign design. The assessment accounts for 45% of the module and requires students to apply digital marketing theory and consumer insight techniques in real-world marketing contexts. The activities are completed through tutorial-based learning, where students participate in discussions, receive tutor guidance and develop their work before submitting it through Canvas. The assessment focuses on applying consumer insights, data analytics tools and digital marketing strategies to create meaningful and responsible customer experiences. Challenge 1, titled “Are You Being Inclusive?” – Brand Audit & Persona for Ethical Reach, focuses on ethical digital auditing and inclusive persona design. Students select a brand from their home country and evaluate the inclusiveness and accessibility of its digital marketing across its website, social media and paid advertising. They then develop two to three detailed customer personas representing underserved or marginalised customer groups. Students also use AI analytics tools such as Google Trends, SparkToro or simulated AI insights to identify audience behaviours and preferences. The challenge is linked to SDG 10 – Reduced Inequalities and includes consideration of the ethics of using AI in digital marketing and its effect on the credibility of consumer insights. Challenge 2, titled “Don't Just Capture Attention – Respect It” – Campaign Idea Pitch, focuses on sustainable branding and growth. Students research the client's existing branding, examine opportunities to expand or sustain its audience and use consumer insight tools such as Google Trends, reviews and surveys to understand public perceptions. Students then create a visual mini-campaign promoting sustainable and transparent brand messaging, including social media content and AI-generated visuals. The campaign is connected to SDG 16 – Peace, Justice and Strong Institutions. Challenge 3, titled “Create, Educate, Disseminate & Evaluate”, develops digital social marketing and consumer engagement. Students extend the campaign developed in Challenge 2 into an interactive digital event that promotes positive behavioural change and educates audiences about a social issue. The activity must consider audience interests, increase interactivity and engagement, and provide evidence of positive engagement. This challenge is linked to SDG 4 – Quality Education. Overall, the assessment develops students' ability to combine digital marketing strategy, consumer insights, ethical considerations, sustainability and creative campaign design in practical marketing activities.

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Leading Through Digital Change 2,500 words

Leading Through Digital Change (CW1)

The Leading Through Digital Change (CW1) assessment is a summative coursework assignment for MSc Management programmes at BPP University Business School. The assessment accounts for 100% of the module marks, with a minimum of 50% required to pass. Students must submit the assessment through Turnitin and follow the Harvard Referencing System. The coursework consists of a 1,500-word business report together with an A4-size poster. The assessment requires the student to act as a Digital Transformation Consultant responsible for coordinating technology expertise within an organisation. The Chief Information Officer (CIO) requires a Digital Transformation Report and Poster that evaluate and recommend changes designed to maintain competitive advantage and create business value. Students must select one organisation from the options provided in the assessment brief: Tata Motors, Meezan Bank Limited, Hulu, or Puma SE. Part 1 addresses the Digital Transformation Strategic Framework and is linked to Learning Outcome 1. The student must critically review and propose one appropriate digital transformation framework for the selected organisation. The brief specifies that one framework should be used from McKinsey 4Ds, BCG 3 Stages, Gartner's 6 Steps or Cognizant's 4 Pillars. The section should also include digital transformation objectives supporting areas such as operations, ICT and marketing. Part 2 addresses Future Digital Trends and Learning Outcome 2. Students must design a poster evaluating two disruptive technologies or techniques likely to affect the smartphone industry, employment and the labour market over the next five years. Suggested technologies include Artificial Intelligence and Machine Learning, 5G Connectivity, Internet of Things, Robotics, Drone Delivery, Blockchain, and Augmented or Virtual Reality. Academic literature and real-life examples should support the discussion. Part 3 addresses Digital Leadership Recommendations and Learning Outcome 3. Students must analyse and propose two appropriate digital leadership styles that the selected organisation should develop to effectively manage and support digital transformation. The brief identifies possible approaches including hyperaware agile leadership, ethical-tech leadership, people-oriented leadership, agile leadership and Goleman's six leadership styles, while allowing other relevant approaches. The required report structure includes the BPP University administration cover sheet, table of contents, list of abbreviations where appropriate, introduction, Part 1, Part 2 (Poster), Part 3, conclusion, references and appendix where required. The main business report is limited to 1,500 words, while the poster has no separate word limit but must fit on A4 paper. The report must be written in the third person, use professional formatting, include page numbers, correctly label tables and figures, and use Harvard in-text citations and references. The marking criteria emphasise critical evaluation rather than simple description. Higher performance requires evidence of extensive personal research, critical analysis of digital transformation frameworks, emerging technologies and leadership approaches, supported by academic literature and real-world examples. The rubric also expects strong links between the organisation's technological challenges, transformation objectives, disruptive technologies and proposed leadership approaches.

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Management 2,500 words

Managing Customer Experience – Coursework Summative Assessment

This assessment requires students to produce a 2,500-word report evaluating the customer experience (CX) strategy of one selected company in one specific country. Students choose one company from H&M, Chen One or M&S and analyse how its customer experience contributes to business success. The report is written from the perspective of a CX consultant for the company’s Board of Directors and should apply relevant customer experience concepts, literature and business examples. The report examines four key areas. First, students explain the concept of customer experience and critically review its importance to business success, including mutual benefits for the organisation and its customers, business and financial performance, and the use of CX to achieve competitive advantage. Second, students evaluate how the selected company delivers a seamless omnichannel customer journey. This includes developing a research- and data-informed customer persona and a customer journey map covering stages, needs, activities, feelings, pain-points and opportunities for improvement. Third, students critically evaluate three CX performance metrics and consider their effectiveness, benefits, weaknesses and relevance to the selected company. Fourth, the report critically reflects on the company’s customer-centric culture in the context of increasing digitalisation, with particular attention to CX leadership, CX governance and one additional critical success factor such as people, CX structure or innovation. Practical recommendations for improving the customer experience should be provided. The assessment requires academic writing, evidence-based critical analysis and Harvard referencing. The report should use appropriate figures, diagrams and research evidence and follow the specified presentation requirements. The assignment assesses students’ ability to understand the importance of CX, evaluate CX performance metrics, assess seamless omnichannel journeys, and critically reflect on CX strategies and digitalisation.

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2,000 words

Creative Marketing Plan for a Product Gap in the Smart Wearable Device Industry

This individual coursework requires students to develop a creative marketing plan for a new product concept within the smart wearable device industry. The assessment is a 2,000-word individual written report and accounts for 100% of the coursework assessment. Students are required to identify an existing product gap in the smart wearable device market, create a unique product concept that addresses the identified gap and develop a creative marketing plan designed to position the proposed product effectively in an increasingly competitive market. The central focus of the assignment is the application of innovative thinking and strategic marketing principles to the smart wearable device industry. Students must identify a meaningful gap or unmet opportunity within the market and use this as the foundation for developing their proposed product. The new concept should respond to consumer needs and demonstrate how innovation can create value within the wearable technology sector. The assignment therefore combines market understanding, product innovation and strategic marketing planning. The brief directs students to begin their preparation by studying Chapter 17 of Jobber and Ellis-Chadwick's *Principles and Practice of Marketing* (Ninth Edition, 2023). It also provides a range of Mintel reports and industry sources covering technology visions, wearable technology trends, digital platforms, healthcare applications, luxury brands, family technology habits and Generation X technology habits. These sources provide background for understanding the development and adoption of wearable technology and emerging opportunities in the market. The recommended supporting material also includes academic research on marketing and organisational performance. The brief specifically identifies Morgan's research on marketing and business performance and Hult's work on boundary-spanning marketing organisations and organisation theories. These sources can support the theoretical and strategic foundations of the proposed marketing plan and help connect marketing activities with broader organisational performance. The completed report should demonstrate the student's ability to recognise a product opportunity, develop an original smart wearable concept and translate that opportunity into a coherent marketing plan. The proposed concept should be clearly connected to the identified product gap and should demonstrate how the product could provide value to its intended consumers within the competitive smart device market. The marketing plan should therefore integrate creative product thinking with appropriate strategic marketing principles. The assignment is submitted through Blackboard, with the deadline stated as 14 January 2026. The assessment is returned within 20 days and feedback is provided in written form. The brief identifies the submission as a Summative Assessment: Individual Written Report and specifies a 2,000-word limit. Overall, the coursework provides an opportunity to apply marketing theory and contemporary industry evidence to a practical new-product scenario. The final report should demonstrate an understanding of the smart wearable technology market while presenting a distinctive product idea and a strategically considered marketing plan capable of addressing an identified market opportunity.

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7COM1076 4,000 words

7COM1076 Network Design, Modelling and Evaluation Coursework

This 7COM1076 coursework requires students to design, model, emulate, test and evaluate networking environments for a new department building at the University of Hertfordshire. The assessment combines practical network modelling with theoretical analysis and evaluation, covering wireless and mobile networking, cloud networking, Software Defined Networking (SDN), network applications and contemporary networking technologies. The assignment is designed to develop practical knowledge through Python-based network emulation and critical understanding through academic research. Task 1 focuses on wireless and mobile networking. Students must use Python to emulate a building containing three WiFi access points and two user stations, identified as UE1 and UE2. The access points are connected using a physical linear topology, while the stations use Class C private IP addresses. The task requires configuration of SSIDs, passwords, channels, ranges and coordinates, with WPA2 encryption and standalone fail mode. The stations must also be configured with mobility, following specified movement sequences and speed ranges. Students must discuss the design and implementation, complete the configuration and mobility tables, provide the Python script used with the Mininet API, and include screenshots demonstrating mobility, access-point association and successful ping connectivity. Task 2 examines cloud services using Mininet and Render.com. Students must emulate a network containing three switches and two hosts and deploy a simple static website using Render.com. Host H1 must access the deployed webpage through the xterm environment. Deliverables include a discussion of the design and implementation, the Python script, evidence of configuring Render.com with the GitHub repository, commands used to connect H1 to the internet and access the webpage, screenshots of the webpage through xterm, and the HTML code of the website. Task 3 focuses on Software Defined Networking and connectivity. Students must emulate an environment containing ten hosts and three servers using a linear topology, with an ONOS controller enabled for control-plane programmability. The task requires configuration of assigned IP and MAC addresses, demonstration of connectivity between hosts and servers, and a UDP transmission using a duration of 600 seconds and bandwidth of 100 Mbps. Students must provide a design discussion, Python emulation script, ONOS GUI screenshot, full ping connectivity evidence and the required UDP transmission results. Task 4 is the analysis and evaluation component. Students must critically discuss three contemporary networking issues using academic sources. These include the challenges faced by a small-to-medium organisation providing services to the UK National Health Service when migrating from on-premises infrastructure to cloud computing; the opportunities and challenges of incorporating Software Defined Networking into future optical networks; and whether WiFi and 5G should coexist to provide ubiquitous services to users. The final report must use 12-point font, normal margins and Harvard referencing in accordance with University of Hertfordshire guidelines. The required report length is 4,000 words with a permitted variation of plus or minus 10%, excluding the title page, contents page, references and appendix, with a maximum page limit of 25 pages. The recommended structure includes an introduction, discussions and results for Tasks 1–3, the three Task 4 analysis sections, conclusion, references and an appendix containing the Task 1, Task 2 and Task 3 code. The assessment covers wireless and mobile networking, cloud and SDN networking, network applications, analysis and evaluation, MCQ tests and overall report quality. The marking allocation includes WiFi networking, mobility and ICMP, cloud configuration, SDN networking, cloud web page, UDP, three analysis sections, two MCQ tests and quality of the report.

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Digital Security Risk and Audit 2,000 words

Digital Security Risk and Audit – Information Security Audit of ABC Air

This individual coursework for the Digital Security Risk and Audit module requires students to prepare a 2,000-word information security audit report based on a case study involving ABC Air, a small aircraft service company responsible for aircraft maintenance for civil operators. The company records information including aircraft flying hours, servicing time, engineers' man-hours and related maintenance activities. An external contractor has also provided a report outlining a possible solution for ABC Air. Students are required to assess the information security risks associated with the scenario, complete an information security audit and produce a professional report, clearly identifying any assumptions made during the analysis. The assessment requires students to examine risk assessment, identification and analysis as part of the audit process. A suitable auditing approach must be selected and justified, with students considering either a general risk-based approach or a specific control-based approach. The report should explain why the selected approach is appropriate for the ABC Air scenario and demonstrate how it can be applied to the organisation's information security environment. The coursework also requires consideration of potential cyber attacks and their use within an integrated fault event analysis. Students must identify relevant information security threats and examine how an attack could affect the organisation and its information assets. The report should further identify appropriate standards, best practices or guidelines that could be used to mitigate information security breaches. These should be critically evaluated, including discussion of their advantages and disadvantages rather than simply being listed. The assessment develops students' ability to apply information security governance and audit practices within legal, ethical and professional contexts. It also requires consideration of recognised industry frameworks such as COBIT and international standards including the ISO 27000 series. Students are expected to perform systematic risk assessment and analysis, critically evaluate information assurance reference models, and select appropriate information security audit strategies for complex real-world scenarios. The marking criteria place particular emphasis on the quality of the information security audit, identification and adoption of appropriate international standards and frameworks, and critical evaluation of the benefits and limitations of security audit frameworks. The assessment allocates 20% to identifying and applying an appropriate audit approach, 50% to completing the conceptual information security audit and assurance, and 30% to interpreting and critically evaluating information assurance reference models. The report is an individual assessment and must be submitted as a PDF through Aula/Turnitin. The brief states that APA referencing should be used for the work and that all sources and any AI tools used must be acknowledged.

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Digital Data Acquisition, Recovery and Analysis 1,500 words

Digital Data Acquisition, Recovery and Analysis – Autonomous Vehicle Forensics

This individual coursework for the Digital Data Acquisition, Recovery and Analysis module requires students to produce a 1,500-word technical research paper critically investigating autonomous vehicle (AV) forensics. The assignment focuses on the challenges, methodologies and tools involved in extracting, preserving, analysing and interpreting digital evidence from autonomous vehicles and their associated systems. The work specifically considers how forensic evidence can be used to reconstruct events and establish accountability following accidents, security breaches or system malfunctions. The assignment examines the increasing importance of digital evidence generated by intelligent transportation systems and smart vehicles. Students are expected to consider data produced by different sources within an autonomous vehicle ecosystem, including LiDAR, radar and GPS sensors, vehicle control units and connected infrastructure. The report should explore how these different forms of information can be collected and forensically preserved while maintaining their evidential value for subsequent investigation and analysis. The coursework requires a detailed technical analysis rather than a general overview of autonomous vehicles or digital forensics. Students are expected to engage with academic literature, industry frameworks and technical examples, while providing critical insights into the subject. The report should analyse the practical challenges associated with AV forensics and critically examine the tools and methodologies that can be applied to obtain and interpret evidence from autonomous vehicle environments. Legal, ethical and privacy considerations form an important part of the assignment. The report should examine issues surrounding the use of autonomous vehicle evidence, including legal responsibility, regulatory considerations, privacy implications and ethical challenges associated with collecting and analysing potentially sensitive vehicle and user data. These considerations should be connected to the wider forensic investigation process and the reliability and admissibility of digital evidence. The required report should follow an academic research-paper structure, including a cover page, abstract, keywords, table of contents, clearly organised sections and subsections, references and an appendix where required. The brief requires APA referencing and a reference list at the end of the paper. Students are expected to use their own words and critically analyse the literature rather than simply summarising existing research. The assessment evaluates five equally weighted areas: structure and presentation with supporting references; balance, objectivity, critical evaluation and original insight; identification of AV-forensics challenges and quality of analysis; analysis of tools and methodologies used in AV forensics; and understanding of AV forensics together with its legal, professional and ethical considerations. Each area contributes 20% to the assessment.

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1,500 words

Network Security Evaluation and Monitoring – Reconnaissance, Incident Response and APTs

This coursework assesses the research and analytical abilities required to design and evaluate an effective network security evaluation and monitoring solution. The scenario places the student in the role of a network security evaluation specialist responsible for helping a client design and build a monitoring solution for a complex client network. The client operates in the defence and security sector, works with government departments, multinational organisations and foreign agencies, and handles sensitive information. The network includes several server farms, gateway nodes, hundreds of client nodes, internal application services, externally accessible services and wireless access points. The organisation is considered vulnerable to threats such as sabotage and intellectual property theft. The coursework requires all questions to be answered in the given order within a single report. An abstract is not required, and students are expected to use technical terminology precisely. Relevant and clearly labelled illustrations are encouraged. Where assumptions are required about security software, hardware or services already deployed on the network, these assumptions must be clearly identified in a dedicated “Assumptions” section at the beginning of the report. Question 1 focuses on detecting network reconnaissance originating from inside the organisation. Students must explain how an insider could collect and use reconnaissance information for malicious purposes, identify the types of data that should be collected and the appropriate network locations for collection, and justify the selection of monitoring data. The question also requires recommendations for suitable tools and configurations to detect reconnaissance activity, together with strategies for dealing with the scale and high traffic volume of the client network. This section carries 30 marks and has a suggested length of 500 words. Question 2 focuses on incident response following a confirmed security incident. The scenario involves suspicious out-of-hours activity and an external flash drive connected to a workstation at gateway 10, a large number of files being opened on a file server at gateway 9, and significant traffic between the workstation and a database server at gateway 5. Students must determine which previously collected data would be relevant, explain the evidence expected from that data, and recommend additional network and endpoint data that should be collected. The proposed approach must be forensically sound so that evidence can potentially be used in court. This section carries 50 marks and has a suggested length of 700 words. Question 3 addresses Advanced Persistent Threats (APTs) and evaluates the effectiveness of the proposed monitoring solution. Students must recommend appropriate testing to determine whether the monitoring system operates according to its specifications and objectives, explain the types, timing and location of testing, and identify suitable qualifications, certifications, knowledge and tool experience for security testers. The section also requires discussion of APT behaviour and how the proposed monitoring mechanisms could detect or prevent such activity. This section carries 20 marks and has a suggested length of 300 words. Overall, the coursework develops skills in network security monitoring, reconnaissance detection, incident response, digital forensics, security testing and APT detection. It requires students to connect technical monitoring strategies with practical security, legal and operational considerations within a complex organisational network environment.

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Cryptography 2,500 words

Cryptography – Secure Land Transaction Contract Exchange Protocol

This 2,500-word Cryptography coursework for Coventry University examines the design of a secure communication protocol for the remote exchange and signing of legal property transaction contracts. The assignment is based on a scenario involving Hackit & Run LLP (H&R), a firm of solicitors specialising in property transactions in the UK and overseas. Because property transactions are increasingly conducted through remote communications, H&R intends to establish a comprehensive system for secure document handling, exchange and digital signing that complies with legal requirements and remains enforceable under UK law. The scenario concerns a land transaction between Mrs. Harvey, the buyer, and Mr L.M. Facey, the seller. Students must devise a communication protocol involving three parties: H&R, the seller’s solicitor and Mrs. Harvey. H&R communicates with the seller through the seller’s solicitor rather than directly with the seller. The seller’s solicitor sends the contract to H&R, H&R forwards it to Mrs. Harvey, Mrs. Harvey digitally signs the contract and returns it to H&R, and H&R then sends the signed contract to the seller’s solicitor. The assignment requires students to consider two communication scenarios between H&R and the seller’s solicitor: a situation where the two parties have previously communicated securely and a situation where they are communicating securely for the first time. Students must identify suitable encryption algorithms for the different stages of the contract exchange protocol and justify their algorithm choices. The work should demonstrate an understanding of appropriate cryptographic approaches for maintaining confidentiality, integrity and availability during secure communication. Students must clearly illustrate their proposed protocol using suitable graphics and pseudocode. A full functioning implementation using a programming language may be provided as a higher-level approach. The report must identify the strengths and limitations of the proposed protocol and discuss the findings. This requires students to connect cryptographic theory with a practical security protocol designed for a real-world legal transaction. The coursework assesses knowledge of modern cryptography, including symmetric-key cryptography, key exchange, asymmetric cryptography, digital signatures, digital certificates and authentication. Students are also expected to model, test and assess the suitability of cryptographic protocols and algorithms for different practical requirements and critically evaluate current research and technological developments in cryptography and its applications. The final submission is a written report of 2,500 words, excluding appendices and tables, with properly formatted references. The assignment is categorised as a report and is a normal coursework attempt. The brief does not specify a particular referencing style or academic level, so these fields should not be guessed when entering the assignment into the Reference Library.

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Entrepreneurship / Entrepreneurial Marketing 1,200 words

Reflective Analysis of Entrepreneurial Capabilities and Development: The GymBuddy Venture

This reflective Entrepreneurial Marketing assessment evaluates the development of the student's entrepreneurial capabilities through the GymBuddy business concept, a proposed fitness application designed to improve motivation and accountability among beginner gym users. The reflection examines how entrepreneurial learning, customer research and creativity frameworks changed the student's original approach from developing a highly complex product toward a more focused and testable business proposition. Entrepreneurial_Marketing_Refle… A central theme of the report is entrepreneurial self-assessment. Opportunity recognition is identified as an important strength, supported by interviews with beginner gym users and competitor analysis involving platforms such as Strava, MyFitnessPal and Nike Training Club. At the same time, the reflection identifies areas requiring development, particularly financial understanding, customer acquisition cost, lifetime value, conversion-rate analysis and negotiation capability. These strengths and weaknesses are used to establish priorities for future entrepreneurial development. Entrepreneurial_Marketing_Refle… The report also evaluates the evolution of the GymBuddy product using SCAMPER, Design Thinking and Lean Startup principles. Rather than pursuing a feature-heavy application, customer feedback leads to greater emphasis on simplicity, peer accountability, social competition and iterative validation. SCAMPER is applied to eliminate unnecessary features, substitute complex recommendations with simpler motivational mechanisms, combine useful functionality and adapt gamification to the needs of beginner users. Entrepreneurial_Marketing_Refle… Another major area of reflection concerns teams, networks and collaborative innovation. The student considers how group creativity exercises challenged the assumption that a venture should be developed independently and highlights the importance of mentors, developers, industry professionals and potential investors. The report links entrepreneurial networks with access to resources, opportunity identification, legitimacy and emotional support and proposes deliberate networking activities as part of future venture development. Entrepreneurial_Marketing_Refle… The visual development framework on page 3 summarises the entrepreneurial journey in five stages: GymBuddy concept and market research, capability assessment, product development and validation, teams and networks, and a time-based action plan. The reflection is structured using the Gibbs Reflective Cycle, linking experience with evaluation, analysis and future action. Entrepreneurial_Marketing_Refle… Overall, the assessment demonstrates reflective learning through the application of entrepreneurial theory to a practical start-up concept. It shows a shift from perfectionism toward rapid validation, customer-centred development, collaborative working and concrete action planning, while identifying financial management, negotiation and network development as important areas for continued improvement. Entrepreneurial_Marketing_Refle… Note: this file is a completed reflective submission rather than the original university assessment guideline, so the university, academic level and academic year should remain Not specified unless you also upload the official brief.

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Cryptography 2,500 words

Cryptography – Secure Contract Exchange Protocol

This 2,500-word Cryptography assignment for Coventry University examines the design of a secure communication protocol for the digital exchange and signing of property contracts. The scenario is based on Lauren Order & Cashgrab LLP (LO&C), a UK and overseas property law firm seeking to establish a comprehensive document handling, exchange and signing system that supports remote property transactions while remaining consistent with legal requirements and enforceable under UK law. The assignment requires students to consider the exchange of contracts using the extended CIA model and to devise a secure communication protocol involving three parties: LO&C, the buyer's solicitor Hackit & Run (H&R), and the seller. The scenario specifies that LO&C communicates with the buyer through H&R, that LO&C and the seller collaborate on initial contract drafts, and that LO&C prepares and sends the final contract to the seller for approval and digital signing before forwarding the signed contract to H&R for the buyer's signature. LO&C and H&R have an existing secure communication relationship. A central requirement is the identification and justification of suitable encryption algorithms for the different stages of the contract exchange protocol. Students may select algorithms covered in lectures or undertake additional research to identify alternative algorithms. The report must explain why particular algorithms are appropriate at different stages of the protocol and demonstrate how the selected cryptographic techniques address the practical security requirements of the scenario. The protocol must be clearly illustrated using suitable graphics and pseudocode, with functioning code being an optional higher-level approach. Students are required to identify the strengths and limitations of their proposed protocol and discuss their findings. The assignment therefore combines theoretical knowledge of modern cryptography with practical protocol design and evaluation. Generative AI may be used to create suitable code where permitted, but students must demonstrate their understanding of the code. The assessed learning outcomes cover modern cryptographic concepts and techniques, including symmetric-key cryptography, key exchange, asymmetric cryptography, digital signatures, digital certificates and authentication. Students are also expected to model, test and assess the suitability of cryptographic protocols and algorithms for practical requirements and critically evaluate current research and technological developments in cryptography and its applications.

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Secure Design and Development 2,000 words

Secure Design and Development – PixelForge Nexus (UITS)

This assessment for Coventry University’s Secure Design and Development module requires students to design and develop a functional secure online system with the aid of a Large Language Model (LLM). The assignment is based on a practical scenario involving Creative SkillZ LLC and its proposed “PixelForge Nexus” system. The submission combines a functional prototype, an individual 2,000-word report, source code hosted in the Coventry University GitHub environment, and a video report demonstrating the completed prototype. The PixelForge Nexus prototype is intended to provide secure project management and basic asset and resource management for a game-development environment. Core functionality includes adding and removing projects, viewing active projects, assigning developers to projects, allowing developers to view their assigned projects, uploading project documents, and allowing authorised users to access documents associated with their projects. The system must implement privilege separation between Admin, Project Lead and Developer roles. Security is a central requirement of the assignment. Administrators are responsible for managing projects and user accounts, Project Leads can assign developers and upload project documents, while Developers can view assigned projects and associated documents. The system must include a robust login mechanism with secure password hashing and storage, with Multi-Factor Authentication recommended as an additional security measure. Proposed pages include Sign In/Register, a role-based User Dashboard, Account Settings and a Project Details page. The practical assessment evaluates four major areas: System Design, Security Testing and Analysis, System Development, and Formal Methods. System design requires consideration of secure design principles and their application to the development lifecycle. Security testing requires critical evaluation of security techniques, identification of issues and proposed mitigation measures. System development requires a functional prototype that follows the proposed design and considers legal and ethical requirements. Formal methods require a behavioural model and appropriate verification techniques to establish whether the system meets its specification. The individual report must document the methods and techniques used to develop the prototype and discuss the stages of the development lifecycle, including specification, design and development. It must also explain the deployment and testing approach, limitations of the prototype, possible improvements, security techniques and the formal model used. The submission must include links to the Coventry University GitHub repository and Microsoft OneDrive video, while the required appendix contains the LLM prompt history and other resources used with APA-style referencing.

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Emerging Technology and Cloud Computing 5,000 words

Emerging Technology and Cloud Computing – SafeCloud Project

This MSc Management coursework for BPP University’s Emerging Technology and Cloud Computing module is a 5,000-word formal business report based on the SafeCloud project at AlwaysUp Ltd., a manufacturing company specialising in power-electric equipment for buildings and critical installations. The assignment examines how emerging technologies, Big Data and cloud computing can support AlwaysUp Ltd.’s international expansion, real-time equipment monitoring, personalised preventive maintenance, data-driven decision-making, and secure management of equipment and client information. The company is seeking to expand from the UK into European markets through distributor partnerships and ultimately achieve global reach. The report requires the identification and critical evaluation of two emerging technologies that can improve AlwaysUp Ltd.’s support and equipment-care services. Students must evaluate the benefits and limitations of each technology within a manufacturing context and use real-world examples to support the analysis. The assignment specifically assesses the ability to demonstrate a comprehensive understanding and critical evaluation of emerging technologies in business. The second task focuses on designing and evaluating a cloud-based Big Data architecture that integrates the two selected emerging technologies. The proposed architecture must include an architecture diagram and should be evaluated in terms of scalability, security, cost-effectiveness, real-time data processing and decision-making. The solution should address AlwaysUp Ltd.’s business requirements and enable the collection, storage and analysis of equipment-related data. The third task examines data protection, ethical considerations, project risks and resource requirements associated with implementing the proposed solution. This includes consideration of data protection and ethical issues arising from the selected technologies, implementation risks, and the human, technological and other resources required. The fourth task analyses the strengths and weaknesses of the combined emerging technologies and Big Data architecture and considers their application to AlwaysUp Ltd.’s business strategy. The report must conclude with a proposed route forward based on the findings. The required report structure consists of an introduction of approximately 500 words, four main tasks of approximately 1,000 words each, a conclusion of approximately 500 words, Harvard-style references and optional appendices.

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Organisational Strategy and Sustainability 2,473 words

Strategic Evaluation of Hindustan Unilever Limited (HUL): Organisational Strategy and Sustainability

This 2,473-word MSc Management coursework for BPP University’s Organisational Strategy and Sustainability module examines the strategic, sustainability and leadership dimensions of Hindustan Unilever Limited (HUL). The report applies the module’s learning outcomes through four main areas: strategic environmental analysis, ethical and sustainable practice, evaluation of strategic options, and personal leadership and sustainability reflection. The assignment is structured around PESTEL and VRIO for strategic analysis, the Triple Bottom Line for sustainability evaluation, the Ansoff Matrix for strategic options, and Emotional Intelligence and Transformational Leadership for personal reflection. The first section evaluates HUL’s external and internal environment. PESTEL analysis considers political and legal requirements, economic pressures, social changes, technological developments and environmental risks. The report highlights issues including packaging regulation, extended producer responsibility, data privacy, commodity and energy volatility, rural–urban differences, AI-enabled operations, digital traceability, climate risk, water stress and packaging circularity. VRIO analysis then evaluates HUL’s purposeful brands and portfolio breadth, rural route-to-market, digital operations and analytics, and supplier development and sustainability governance as sources of competitive advantage. The second section assesses HUL’s ethical, sustainable and responsible practices through the Triple Bottom Line framework of People, Planet and Profit. The analysis considers workforce and community priorities, customer responsibility, renewable energy, emissions, water stewardship, waste and packaging, as well as productivity, efficiency, risk mitigation and sustainable growth. A specific packaging circularity transition is proposed, including design-for-recycling, post-consumer recycled content, lightweighting, refill and reuse pilots, collection partnerships and consumer education. The third section evaluates four strategic options using the Ansoff Matrix: urban refill and concentrate formats, rural assisted commerce through “Shakti 2.0”, an ingredient traceability platform, and precision revenue-growth management in quick-commerce. Each option is considered in relation to strategic fit, VRIO capabilities, risks, implementation actions, ownership and KPIs. The final section provides a first-person reflection on leadership and sustainability. It uses Goleman’s Emotional Intelligence and Transformational Leadership to examine learning from the strategic and sustainability analysis, including self-awareness, self-regulation, empathy, collaboration and evidence-based decision-making. It also presents a 90-day leadership development plan focused on decision briefs, stakeholder pre-mortems and a personal Triple Bottom Line checklist.

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Organisational Strategy and Sustainability 2,500 words

Strategic Evaluation and Analysis of Hindustan Unilever Limited (HUL)

This 2,500-word coursework for the MSc Management module Organisational Strategy and Sustainability requires a strategic evaluation and analysis of Hindustan Unilever Limited (HUL). The assignment is written from the perspective of a management consultant at BPP Consulting Group and is addressed to HUL’s Board of Directors. It focuses on HUL’s strategic management, sustainability initiatives and responsible leadership within a global business context. The report begins by examining HUL’s internal capabilities and external business environment. Students are required to apply one strategic model to analyse the internal environment and one model to assess the external environment, such as VRIO, PESTEL or Porter’s Five Forces. The analysis should identify internal competencies, external opportunities and threats, sources of competitive advantage, and the influence of global and local market dynamics on HUL’s strategic choices. Particular consideration may be given to key regions such as the European Union, Asia and North America. The second section evaluates HUL’s ethical, sustainable and responsible business practices. The brief requires the use of one framework, such as the Triple Bottom Line or Sustainable Supply Chain Management, to assess one selected area of CSR, sustainability or ethical practice. The discussion should consider stakeholder engagement, regulatory influences such as the United Nations Sustainable Development Goals and European Union legislation, and one HUL sustainability initiative such as product lifecycle management, eco-design, renewable energy integration or supply chain transparency. The third section critically evaluates HUL’s strategic responses to current and future challenges, including climate change, artificial intelligence and digital disruption. One strategic framework, such as the Ansoff Matrix, Blue Ocean Strategy or VRIO, should be applied to evaluate strategic options and their implications for long-term sustainability, competitiveness and market relevance. The final section provides a personal leadership and sustainability reflection. Students select one leadership model, such as Goleman’s Emotional Intelligence, Hofstede’s Cultural Dimensions or Transformational Leadership, and reflect on their learning from the previous sections. The reflection covers personal development, ethical, cross-cultural or sustainable leadership, career aspirations, and values-driven leadership. The report concludes by summarising recommended changes to HUL’s organisational strategy and sustainability initiatives. The assessment requires Harvard referencing and a professional academic structure. The main body has a 2,500-word limit, with suggested allocations of approximately 50 words for the introduction, 600 words each for LO1, LO2, LO3 and LO4, and 50 words for the conclusion. The cover page, contents, references and appendices are excluded from the word count.

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Consultancy Project 1,464 words

Enhancing Sustainable Supply Chain Practices through Digital Transformation: A Case Study of Unilever Plc

This consultancy project proposal examines how digital transformation can enhance sustainable supply chain practices at Unilever Plc. Unilever is presented as a multinational fast-moving consumer goods organisation operating across more than 190 markets, with a complex global supply chain and sustainability commitments linked to the United Nations Sustainable Development Goals. The proposal focuses on the challenges associated with achieving supply chain transparency, managing fragmented sustainability data, and balancing sustainable sourcing and operational costs. The project investigates how emerging digital technologies, particularly blockchain, the Internet of Things (IoT) and Artificial Intelligence (AI), could support greater transparency, traceability, operational efficiency and sustainability within Unilever's supply chain. The organisational analysis identifies issues including the complexity of tracing raw materials across multi-tier supply chains, fragmented procurement and sustainability information systems, and the tension between sustainability investments and short-term operational costs. The proposal also considers infrastructure readiness, data security and employee upskilling as factors affecting digital transformation. The research aims to examine how digital transformation technologies could improve sustainable supply chain planning at Unilever while supporting long-term business and environmental goals. Three objectives are established: examining sustainability challenges affecting Unilever's global supply chain, assessing how blockchain, IoT and AI could improve transparency, traceability and efficiency, and proposing strategic recommendations for integrating digital innovation into Unilever's sustainability framework. The central research question examines how digital transformation can contribute to an ethical, transparent and sustainable supply chain while maintaining operational efficiency. A qualitative exploratory case-study research design is proposed. The main emphasis is on secondary data, including Unilever's annual reports, sustainability information, digital transformation publications, company news, industry articles and analyst reports. Where feasible, primary data may be collected through semi-structured expert interviews and a short qualitative questionnaire. The proposed analysis includes thematic analysis, document review and descriptive statistics using relevant secondary numerical data. Validity is supported through triangulation, while reliability is addressed through consistent coding and an audit trail. The proposal also addresses ethical considerations, including research integrity, transparency, confidentiality, informed consent, anonymity, GDPR requirements, plagiarism avoidance, Harvard referencing and potential corporate bias or greenwashing. Overall, the project explores the potential contribution of digital innovation to Unilever's sustainability objectives and the wider responsible digitalisation of the FMCG supply chain.

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Consultancy Project 1,500 words

Consultancy Project Proposal

This assessment requires students to develop a professional Consultancy Project Proposal addressing a current organisational issue or business challenge. The assessment consists of a 1,500-word individual project proposal worth 80% of the module grade and an A4 Consultancy Project Proposal Digital Poster worth 20%. The proposal should provide an in-depth analysis of a selected business or management issue and establish a comprehensive research methodology for investigating the identified challenge. The assignment requires students to select an existing organisation and critically examine between one and three current and ongoing organisational challenges. The discussion should be evidence-based and supported by relevant, recent and credible sources, such as academic journals, company reports and other appropriate research. Students are encouraged to establish links between the selected challenges, current affairs, news events and the United Nations Sustainable Development Goals where relevant. The proposal must establish a clear research aim and three research objectives connected to the selected organisational challenges. Students must demonstrate awareness and application of appropriate research methodologies, including consideration of qualitative and quantitative approaches. The assessment also encourages the development of one or two concise research questions and requires students to demonstrate how the selected research methods can be applied to investigate the identified challenges. Students must also develop a feasible research plan and discuss ethical considerations, particularly those relating to secondary data collection. The digital poster should communicate the research plan clearly and demonstrate data analysis and data presentation skills through appropriate graphs, charts and tables. The final proposal should critically organise and synthesise information, provide a clear conclusion, and maintain professional academic standards. The recommended structure consists of a cover page, table of contents, list of abbreviations where appropriate, introduction, critical discussion of challenges, research aim and objectives, application of research methodologies, ethical considerations, research plan, critical organisation and synthesis of information, conclusion, references, the Consultancy Project Proposal Digital Poster and appendices where required. The main proposal has a 1,500-word limit, while the digital poster should not exceed one A4 page. The assignment requires Harvard referencing and the report should be written in the third person.

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Leading Through Digital Change 1,000 words

Digital Transformation Report – Leading Through Digital Change

This assessment is a formative coursework task for the Leading Through Digital Change module at BPP University Business School. The assignment requires students to act as a Digital Transformation Consultant and prepare a Digital Transformation Report for one selected organisation. The purpose is to evaluate the organisation’s current digital transformation requirements and propose changes that can help maintain competitive advantage and create business value. Students are required to select one organisation from the options provided in the assessment brief. The listed organisations include Tata Motors, Meezan Bank Limited, Hulu, and Puma SE. The report should consider the organisation’s digital change environment and develop an appropriate strategic response to technological change. The main task requires students to critically review and propose one appropriate digital transformation strategic framework for the selected organisation. The assessment specifies that students should use one framework from McKinsey 4Ds, BCG 3 Stages, Gartner’s 6 Steps, or Cognizant’s 4 Pillars. The selected framework should be applied to the organisation’s digital transformation requirements. Students must also identify digital transformation objectives that support important organisational departments such as operations, ICT, and marketing. Examples and evidence from personal research can be incorporated to strengthen the analysis. The report should demonstrate understanding of management and leadership strategies in organisations experiencing digital change. Students are expected to connect the proposed framework and digital transformation objectives with the factors driving technological transformation within the selected organisation. The assessment also requires appropriate academic structure, including an introduction, Task 1, conclusion, references, and an appendix where necessary. The report has a main-body word limit of 1,000 words, excluding the cover page, table of contents, list of abbreviations, references, and appendices. It should be written in the third person and follow professional academic standards. Sources must be appropriately cited using the Harvard referencing system. The assessment focuses on applying management and leadership knowledge to digital transformation and developing a structured strategic response to digital change.

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Business Management / Strategy 2,467 words

Contemporary Issues in Business (BS729) — Reflective Portfolio: Case Trends, Stakeholder Perspectives and Management Frameworks

This Level 7 portfolio accumulates across a semester of case-based workshops and is submitted as a single document combining reflective writing with sustained critical discussion. The assessment rewards demonstrable personal development as much as analytical knowledge, so the writing is first-person where it needs to be and evidential throughout. The reflective component presents six workshop reflections, each no longer than 150 words and each structured through one of the established reflective models introduced in the module — Gibbs' Reflective Cycle, Kolb's Learning Cycle, Schön's framework or the ERA framework. These are not summaries of what the case was about. Each one identifies where the analysis could have been sharper, what was missed in the live discussion and why, what will be repeated and what will be done differently, with the emphasis falling on transferable learning about how business problems are diagnosed and decisions taken under uncertainty rather than on the particulars of any single case. The larger critical component works through three connected questions. The first examines how contemporary trends studied in the module affect businesses both positively and negatively, drawing on two specific cases but deliberately reaching beyond them to consider consequences across whole industries — the trend, not the company, is the unit of analysis. The second addresses why identifying stakeholders and understanding their perspectives is critical to sound decision-making, using one module case to demonstrate it. Competing interests are mapped explicitly, the power and legitimacy of each group considered, and stakeholder theory used to argue why a manager who weighs only shareholder interest arrives at a worse decision. The third question turns to the management tools and frameworks applied during the module, using two cases to show how a particular tool was selected, what it revealed that unstructured analysis would have missed, and equally where it fell short. This includes judgement about when each framework is and is not appropriate, since selecting the right tool for the problem is itself the skill being assessed. Harvard referencing is applied consistently across all sections, with academic sources supporting the theoretical claims and practitioner sources grounding the industry discussion. Portfolio items are collected through PebblePad across the semester and consolidated into one file for submission, the class participation element being tracked separately by the lecturer across the case discussion sessions.

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Digital Marketing / Marketing Analytics 2,483 words

Digital Marketing Analytics (BS783) — GA4 Performance Analysis and 90-Day Campaign Strategy for the Google Merchandise Store

This Level 7 report positions the writer as a digital marketing consultant engaged by the Google Merchandise Store, a live e-commerce operation. All quantitative work is drawn from the public GA4 Analytics Demo Account, so the analysis rests on real platform data rather than invented figures, and the report is structured in two halves that move from diagnosis to prescription. Part A is research and analysis. It opens by defining and evaluating the role analytics currently plays in shaping the store's digital marketing strategy — what is being measured, what that measurement is used for, and where the strategic gaps sit — grounded in marketing performance-measurement literature rather than description of the interface. The tactical analysis then assesses how effectively the store's digital channels and social content drove traffic and conversions across two defined quarterly reporting periods. Performance reporting follows, comparing the two periods in detail to identify the strongest customer segments, acquisition channels and products, and — more importantly — offering a reasoned explanation for why performance differed between them, distinguishing seasonality and campaign activity from genuine structural change. Part B turns to campaign strategy for a niche lifestyle market segment. A customer persona is developed and supported by the behavioural evidence visible in the GA4 data rather than asserted demographics, and a full journey map traces that persona from awareness through consideration, conversion and retention, identifying the friction points at each stage. Strategic recommendations then propose specific enhancements to channels and content aimed at that audience, each justified against the performance evidence from Part A and against the competitive landscape the store operates in. The final section builds the measurement architecture for the proposed campaign over the following ninety days. It sets goals and performance management parameters, selects the tools and metrics that will track them, defines the reporting cadence and the decision thresholds that trigger optimisation, and places particular weight on measuring return on marketing investment — connecting spend to sales, leads and customer satisfaction rather than to vanity engagement figures. Attribution limitations and the practical constraints of GA4 measurement are acknowledged where they affect confidence in the numbers. Throughout, screenshots and exported GA4 reports evidence the claims made, academic and practitioner sources support the analytical framing, and Harvard referencing is applied consistently. The submission is a single file through Turnitin.

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Data Management / Business Analytics 2,500 words

Data Design Management (BS514) — Data Strategy Consultancy: Relational Database Design, SQL Implementation and Pipeline Transformation

This Level 7 assessment places the writer in the role of a Data Strategy and Analytics Consultant appointed by an organisation operating in a realistic industry sector. The brief is entirely simulated, so the work sets out a defensible set of assumptions about the organisation's data environment before any design begins, and populates the resulting database with synthetic but realistic records. The deliverable is a slide deck carrying full explanatory notes, submitted as a single PDF, and weighted across three connected tasks. Task one establishes the business case. It describes how the chosen organisation currently collects, stores and uses data across customer interactions, sales transactions, operational processes and digital channels, and identifies where that fragmented picture costs the business in efficiency, resource use, retention and decision quality. A SWOT analysis benchmarks the organisation against a named real-world competitor in the same sector, drawing on publicly available market information rather than assertion. The section closes with a critical evaluation of modern relational database advancements — cloud-hosted SQL services, distributed architectures and data warehousing — assessed not in the abstract but against what each would actually change about this organisation's business model. Task two carries the heaviest weighting and is the technical core. Key business entities are identified from the scenario, a current-state data flow diagram traces how data moves from collection points through to storage and reporting with the existing ETL approach made explicit, and a future-state ER diagram is then built with full attributes, primary and foreign keys, relationships and cardinality. The design is normalised to third normal form with the decomposition reasoning shown. Implementation follows in SQL: tables created with appropriate integrity constraints, at least ten realistic sample records inserted per table, and five business questions answered through working queries — highest-performing product or campaign, average conversion by category, workload distribution across staff, accounts with overdue or pending items, and most effective service channel. Outputs accompany every script. A transformation demonstrating query optimisation is included with before-and-after samples so the improvement is evidenced rather than claimed. Task three steps back to the technology decision. Two widely used data processing platforms are compared in tabular form across integration, cleaning, transformation and automation capability, judged specifically against this organisation's constraints, with a reasoned justification for the tool finally selected. The transformed dataset is then used to answer two management-level questions — where investment should be prioritised and how retention might be improved from observed behavioural patterns — each interpreted briefly and tied back to a concrete recommendation. Slide structure follows the prescribed layout, SQL scripts sit in the notes section, and the complete script file is reproduced in the appendix.

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Supply Chain Management / Strategic Sourcing 1,800 words

Strategic Sourcing and Supply Chain Resilience Under Global Uncertainty

This postgraduate supply-chain assessment examines how organisations operating in the UK are adapting their strategic sourcing and supply-chain practices in response to sustained global uncertainty. The assignment is situated within an environment shaped by major disruptions including the Covid-19 pandemic, geopolitical conflicts, trade tensions, tariff volatility and Brexit, all of which have challenged the reliability, cost efficiency and resilience of globally distributed supply networks. Students select either a British organisation or a multinational enterprise with significant UK operations and critically analyse its documented supply-chain strategy. Potential areas of investigation include insourcing and outsourcing, offshoring, reshoring and nearshoring, single versus multiple sourcing, supplier selection and monitoring, supplier and customer relationships, inventory management, digitalisation, sustainable sourcing and supply-chain risk management. The assessment requires more than description. Students must provide a critical and theoretically informed evaluation of the organisation's decisions, identifying both opportunities and risks associated with its strategic response. At least one relevant theoretical framework or analytical tool must be applied to assess the company's sourcing or supply-chain decisions. The analysis must also include at least one company practice or decision from 2025 and conclude with a detailed recommendation explaining actionable steps, implementation challenges, expected outcomes and alignment with organisational objectives. Research must draw on a minimum of 10 credible sources, including at least five academic journal articles and five non-academic sources such as news articles, industry reports or corporate publications. At least two of the non-academic sources must have been published during 2025–2026. Students may present the work as either a business report or academic essay, with consistent in-text citation and referencing. Norwich Business School normally requires the Harvard referencing system. Overview word count: approximately 340 words. Note: the document header states PG Coursework 2025–26, but one later line gives a submission deadline of 15 May 2025, which appears inconsistent with the stated academic year. I would therefore use 2025/26 for the library record and avoid publishing the deadline unless it is verified.

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Digital Forensics / Cybersecurity 2,000 words

AI-Augmented Digital Forensics Workflow Audit: Feasibility and Risk Assessment of ForensiScan AI

This digital forensics assessment examines the feasibility, reliability and legal risks associated with introducing AI-assisted analysis into a conventional forensic investigation workflow. Students act as a Lead Forensic Consultant assessing a proposed black-box system called ForensiScan AI, which claims to automatically classify illicit images and identify suspicious intent within encrypted messaging applications using Large Language Models. The central objective is to determine whether the efficiency benefits of AI can be achieved without compromising evidential integrity, transparency or legal defensibility. The report maps the proposed AI system across the four stages of the NIST forensic process: Collection, Examination, Analysis and Reporting. For each phase, students identify the data entering and leaving the AI system and determine whether the technology should be used for preliminary triage or as part of final forensic analysis. A major component concerns verification and validation. Because AI systems may hallucinate or misclassify evidence, students must design a ground-truth protocol involving human verification, statistical sampling and known datasets. The assessment also investigates whether AI-generated results can be reproduced reliably when identical evidence is processed again. The report further addresses chain of custody and data integrity, particularly whether AI processing could alter timestamps, metadata or other forensic artefacts. Ethical and legal analysis covers potential model bias, language and contextual limitations, and whether AI-generated outputs could satisfy the requirements of the Daubert Test for expert evidence. Overall, the assessment combines digital-forensic architecture, AI governance, evidential integrity, model validation, legal admissibility and professional accountability. The grading criteria place particular emphasis on forensic soundness, protection against evidence alteration, critical analysis of AI limitations such as hallucination and non-determinism, and professional technical communication. Overview word count: approximately 340 words. AI-use note: the brief permits AI only for limited assistance such as brainstorming risks, structural feedback and grammar refinement. It explicitly prohibits full report generation, unverified forensic claims and using AI to substitute for the student's own final recommendation or verification protocol. Any AI use requires an appendix containing the tool, exact prompts and a human verification log.

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Business Strategy / Digital Business and Innovation 3,125 words

Safaricom Business Hub: Strategic B2B Digital Payment Platform for East African SMEs

This strategic business case proposes the Safaricom Business Hub, an integrated B2B digital-payment platform designed to support small and medium-sized enterprises across East Africa. The proposed solution responds to Safaricom’s need for digital diversification as traditional voice revenues mature, while leveraging the growth of M-Pesa and the wider transition toward digital financial services. The platform combines invoicing, bulk payments, cash-flow analytics and integrations with accounting systems such as Xero, QuickBooks and SAP. The report begins by analysing Safaricom’s current strategic position, including subscriber growth, revenue performance, declining voice services, M-Pesa transaction growth and market saturation. It then assesses the wider East African B2B digital-payment opportunity, considering market size, digital adoption, the SME population, regulatory developments, smartphone penetration and operational inefficiencies associated with manual invoicing and reconciliation. Competitive analysis evaluates Safaricom against established banking solutions, international fintech providers and specialist payment gateways. The strategic case identifies several potential advantages associated with Safaricom’s existing M-Pesa infrastructure, agent network, brand position and payment-services capabilities. The proposed Business Hub addresses fragmented SME financial processes through automated invoicing, bulk payment processing, real-time cash-flow analytics and integration with existing accounting platforms. The business plan also provides a four-phase implementation roadmap, covering MVP development, pilot testing, Kenyan market launch, regional expansion and ecosystem development. Financial projections consider customer growth, revenue, EBITDA, customer acquisition cost, lifetime value, payback and return on investment, alongside sensitivity scenarios for different levels of market adoption. Finally, the report evaluates competitive, regulatory and market-adoption risks and links the proposed investment to Safaricom’s broader strategic diversification objectives. Overall, the work integrates strategic analysis, fintech innovation, market opportunity assessment, implementation planning, financial modelling and risk evaluation to present a commercial case for expanding Safaricom’s digital financial-services ecosystem. Overview word count: approximately 340 words. One useful note for the public Reference Library: I would upload the clean original assignment/business plan rather than the AI-detection or similarity-report versions if you have it, because these two PDFs contain checker-report pages in addition to the coursework itself.

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Systems Analysis and Design

Systems Analysis and Design with UML – Individual Systems Design Assignment

This individual assignment forms Part 2 of the Systems Analysis and Design with UML assessment and contributes 50% of the overall module weighting. The uploaded guidance indicates that this component should continue directly from work completed in Part 1, meaning that the analysis and design developed previously should provide the foundation for the second-stage submission. The assignment is centred on the principles and practices of systems analysis and design using the Unified Modeling Language (UML). It is intended to demonstrate the application of structured analytical thinking and modelling techniques to the development or refinement of an information-system solution. Because Part 2 follows an earlier assessment component, continuity between the original problem definition, requirements and subsequent design work is likely to be an important aspect of the submission. Relevant areas may include requirements representation, system modelling, process and interaction analysis, object-oriented design and the use of appropriate UML artefacts to communicate system structure and behaviour. The work should therefore demonstrate how analytical findings are translated into coherent design decisions while maintaining alignment with the system requirements established during the earlier project stage. The assessment is individual and therefore should demonstrate independent understanding of the selected system, its requirements and the rationale underlying the proposed design. The uploaded summary confirms that this component is worth 50% of the module and has a submission deadline of 15 May 2026 at 17:00 GMT. Note: the actual detailed Part 2 brief is not contained in this uploaded summary, so specific UML diagrams, required sections, word count and marking criteria cannot be confirmed from this document alone. Entry 2 — Intelligent User Interfaces Part 1 Field Content to enter Title Smart Study Student Assistant: Intelligent User Interface Prototype University Not specified in the uploaded guideline Subject Intelligent User Interfaces / Human-Computer Interaction Module name Intelligent User Interfaces Academic level Not specified Academic year Not specified Assignment type Presentations and Academic Posters Reference style Not specified Word count Not applicable – maximum 10-minute pre-recorded prototype presentation Amount (₹) Enter your internal project amount Key topics Intelligent User Interfaces, Human-Computer Interaction, Smart Study Assistant, Student Productivity, Adaptive Interfaces, Personalised Learning, Study Planning, Question Generation, Low-Fidelity Prototyping, User-Centred Design, User Behaviour, Learning Progress, Educational Technology, UX Design, Personalisation Assignment overview This project prototype forms Part 1 of Intelligent User Interfaces and contributes 60% of the final module mark. The assessment requires a project prototype supported by a pre-recorded presentation of no more than ten minutes. The selected project concept is a Smart Study Student Assistant, positioned within education and student-productivity technology. The proposed system is an adaptive study-planning and note-based question-generation interface. Its purpose is to help students organise academic work by combining uploaded study notes, deadlines and information about user behaviour to generate personalised study plans and learning questions. The project addresses common problems including scattered study materials, missed deadlines, unclear schedules and the lack of personalised guidance on how and when students should study. The guidance specifically states that the solution should not be unnecessarily advanced. Instead, the design should focus on how the interface will be useful to different types of users. Low-fidelity material and supporting notes are also required, indicating that the project should demonstrate user-centred design thinking rather than focusing solely on technical sophistication. The intended goal is to provide personalised study plans, questions and guidance based on the student's notes and deadlines, supporting more consistent study habits and improved organisation. Tutor feedback describes the concept as relevant and well motivated but identifies one important weakness: the system's intelligent behaviour is currently under-specified. The tutor specifically recommends clarifying how study plans and question generation adapt according to user behaviour or learning progress. Accordingly, the prototype should communicate both the interface design and the adaptive logic that makes the system genuinely intelligent and user-centred. Entry 3 — Intelligent User Interfaces Part 2 Field Content to enter Title Intelligent User Interfaces – Individual Essay University Not specified in the uploaded guideline Subject Intelligent User Interfaces / Human-Computer Interaction Module name Intelligent User Interfaces Academic level Not specified Academic year Not specified Assignment type MS Essays Reference style Not specified Word count Not specified Amount (₹) Enter your internal project amount Key topics Intelligent User Interfaces, Human-Computer Interaction, Adaptive Interfaces, User-Centred Design, Intelligent Systems, Personalisation, User Experience, Educational Technology, Interaction Design, AI Interfaces Assignment overview This individual essay forms Part 2 of the Intelligent User Interfaces module and contributes 40% of the final module mark. The uploaded guidance identifies the submission deadline as 21 May 2026 at 16:00. The assessment belongs to the same Intelligent User Interfaces module as the Part 1 prototype project. The broader module context therefore concerns the design and evaluation of interfaces that use intelligent or adaptive behaviour to improve interaction between users and digital systems. Relevant considerations may include personalisation, adaptive interaction, usability, human-computer interaction, user behaviour and the responsible design of intelligent systems. However, the uploaded summary does not contain the actual Part 2 assessment brief, essay question, required word count, marking criteria or prescribed topic. It only confirms that the assessment is an individual essay worth 40% of the final mark. For that reason, the Reference Library overview should remain general rather than claiming that Part 2 specifically assesses the Smart Study Student Assistant. If the Part 2 essay is intended to continue or evaluate the Part 1 prototype, that relationship should only be added once the actual Part 2 assessment brief confirms it. The current document explicitly provides the Smart Study Student Assistant instructions under Subject 2, while no corresponding topic instructions are shown for Subject 3. So for Entry 3, I would keep the title and overview generic until the actual KV7005 Part 2 brief is uploaded.

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Computing and Digital Technologies 3,000 words

Contemporary Computing and Digital Technologies: AI Agents Hackathon Reflective Report

This postgraduate reflective assessment forms part of the Contemporary Computing and Digital Technologies module and is based on experiential learning undertaken through an AI-focused hackathon. The hackathon theme, “AI Agents Unleashed – Building the Future of Automation,” requires MSc students from computing-related disciplines to collaborate on intelligent agent-based solutions capable of automating complex tasks, solving real-world problems and supporting human decision-making. The hackathon encourages students to investigate agent-based system design, intelligent automation and responsible AI development. Potential applications include autonomous cybersecurity monitoring, multi-agent systems for information gathering and decision support, automated data pipelines, intelligent software-development assistants, and conversational systems such as virtual tutors or career coaches. Students may use code-based approaches or platforms such as Flowise, Microsoft Power Automate and Make.com, while more advanced implementations can use technologies including LangChain, AutoGen, Python-based agent SDKs, APIs and large language models. The 3,000-word Individual Reflective Report, worth 70% of the module assessment, evaluates the student's learning and professional development arising from these experiential activities. The first component is a 2,000-word Portfolio of Evidence, requiring evidence-based reflection on participation in the hackathon. Students should evaluate their leadership and teamwork competencies using concrete evidence such as screenshots, code commits and feedback while identifying key lessons for personal and professional development. They must also consider how the experience applies to future research, career development or professional practice. The remaining 1,000 words comprise a Critical Self-Reflection examining the student's personal contribution and achievement of learning-contract goals. Students are expected to critically consider challenges encountered, how those challenges were addressed, lessons learned and their development as effective collaborative team members. Overall, the assessment integrates technical experimentation, reflective practice, teamwork, leadership, professional development and responsible use of emerging AI technologies, supported by a structured portfolio of evidence

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Business Management / Strategic Management 50,000 words

Starbucks Labour Relations and Unionisation: Strategic Business Consultancy Analysis

his Masters-level Business Project presents a strategic consultancy analysis of Starbucks, focusing on the company's ongoing labour-relations challenges, unionisation disputes and associated legal, operational and reputational implications. The project examines how employee relations and organised labour can develop from a human-resource concern into a wider strategic management issue affecting corporate governance, organisational performance, stakeholder trust and long-term brand value. The report follows the consultancy structure required by the Business Project assessment, beginning with identification of a current organisational challenge and the resulting issues affecting the client organisation. The official brief requires the selected challenge to be connected with current affairs, emerging industry trends and the organisation's wider business strategy. It also requires evaluation of both internal and external stakeholders and analysis using conceptual and numerical secondary data. In the completed project, Starbucks' labour dispute and unionisation environment are examined through several strategic-management frameworks. PESTLE analysis is used to assess political, economic, social, technological, legal and environmental influences surrounding labour relations. SWOT analysis evaluates Starbucks' organisational strengths, weaknesses, opportunities and threats, while Porter's Generic Strategies considers the relationship between differentiation, competitive positioning and labour-management practices. The project also applies stakeholder analysis to groups including senior leadership, employees, unions, regulators, customers, investors and other external stakeholders. A major part of the analysis considers stakeholder power, interest, legitimacy and urgency. The assessment brief specifically requires students to identify internal and external stakeholders, assess their power and interests, and evaluate how the investigated business challenge affects each stakeholder group. The project concludes with evidence-based strategic recommendations designed to improve labour relations, governance and organisational resilience. Recommendations include strengthening good-faith bargaining, developing more consistent labour-governance practices, improving workforce systems and employee participation, incorporating labour-relations indicators into ESG and corporate reporting, and adopting a coordinated legal and reputation-management strategy. Overall, the work demonstrates the application of strategic management, stakeholder analysis, corporate governance, HRM and secondary-data evaluation to a contemporary organisational challenge. The official assessment requires recommendations to arise directly from the critical analysis and to explain how they create strategic value for the client organisation and its wider industry. The completed submission itself is titled Business Project and focuses on Starbucks; its contents include the organisational challenge, purpose of the report, stakeholder impact, secondary-data evaluation, and recommendations and conclusion.

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Computer Networks and Network Engineering 3,500 words

Wireless, Cloud and Software Defined Networking: Network Modelling, Emulation and Evaluation

This technical networking assignment focuses on the design, implementation, emulation and evaluation of wireless, cloud and Software Defined Networking environments. It combines practical network modelling with analytical discussion and requires students to demonstrate their understanding of modern networking architectures through Mininet-WiFi, Mininet, cloud deployment technologies and an ONOS Software Defined Networking controller. The first task involves creating an ad-hoc wireless network for an emergency-response scenario. A minimum of three wireless stations must be configured using specified parameters such as transmission range, antenna height, antenna gain, SSID and wireless capabilities. Students are required to explain the network design and implementation, provide the Python configuration script used with Mininet-WiFi, and demonstrate connectivity using ICMP communication between appropriate stations. The second task examines cloud-service emulation. Students must construct a Mininet topology containing a switch and two hosts and deploy a simple static website using Render.com. The task requires evidence of cloud configuration, GitHub repository integration, commands used to provide internet access to the emulated host, webpage access through Xterm, screenshots of the resulting webpage and the associated HTML code. The third task addresses Software Defined Networking (SDN). Students create an emulated environment involving three hosts and three servers, implement the required network topology and use the ONOS controller to provide control-plane programmability. Evidence must include the Python emulation script, ONOS GUI output, host-to-server connectivity testing and TCP transmission testing. The final analytical component requires students to critically evaluate the relationship between Software Defined Networking and Network Functions Virtualisation (NFV) and assess security algorithms used in cloud computing, including a comparison of the advantages and disadvantages of two selected algorithms. The coursework therefore integrates practical network configuration, connectivity testing, cloud deployment, programmable networking and academically referenced technical evaluation. Overview word count: approximately 335 words. Important: the brief explicitly states that AI-generated report or code content is prohibited, so this Reference Library description should be treated only as catalogue/metadata content, not as coursework material for submission.

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Business and Management 34,000 words

Examining the Role of Cross-Cultural Communication in Enhancing Team Efficiency: Evidence from McDonald’s Multicultural Workforce in London

This dissertation examines the role of cross-cultural communication in enhancing team efficiency within McDonald’s multicultural workforce, with the study framed around the challenges and opportunities created by culturally diverse working environments. The research considers how differences in language, communication styles, cultural expectations and workplace behaviour can influence employee collaboration, productivity and organisational effectiveness. The study aims to assess cross-cultural communication within multicultural teams, analyse its relationship with team success, and identify cultural factors that can support stronger workplace collaboration. The research adopts a qualitative secondary-research methodology under an interpretivist and inductive approach. Evidence is drawn from peer-reviewed academic literature, McDonald’s annual and diversity reports, and relevant hospitality-sector studies. The collected evidence is examined through thematic analysis to identify recurring patterns relating to communication barriers, workforce productivity, multicultural collaboration and inclusive leadership. The analysis is organised around four principal themes: cross-cultural diversity and workforce productivity; communication barriers and cultural challenges; diversity management and inclusive leadership; and HR practices, employee motivation and organisational performance. The discussion considers issues such as language barriers, cultural adjustment, misunderstandings, workplace conflict, leadership representation, employee inclusion, recruitment, training, digital HR systems and the use of AI-enabled workforce technologies. The study finds that workforce diversity alone does not automatically generate higher productivity. Instead, the effectiveness of multicultural teams depends substantially on the communication structures, inclusive leadership practices and HR support systems used by the organisation. Effective cross-cultural communication can strengthen coordination, customer responsiveness, employee engagement and operational efficiency, while poorly managed communication differences can contribute to delays, misunderstanding, stress and conflict. The report concludes with recommendations for continued cross-cultural communication training, inclusive leadership development, conflict-resolution initiatives and multilingual communication support. It also recognises the limitation of relying on secondary evidence and identifies primary research with employees and managers as a potential direction for future research. Overview word count: approximately 350 words.

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Management / Digital Transformation and Leadership 1,500 words

Leading Through Digital Change: Digital Transformation Report and Future Technology Poster

This Masters-level assessment for the Leading Through Digital Change module examines how organisations can respond strategically and effectively to rapid technological and digital transformation. Students take the role of a Digital Transformation Manager for one selected international organisation and prepare a professional Digital Transformation Report accompanied by an A4 digital poster. The purpose is to evaluate the organisation's current digital context and recommend changes that can strengthen competitive advantage and create sustainable business value. The first component requires critical evaluation and recommendation of one appropriate digital transformation strategic framework. Students may apply frameworks such as the McKinsey 4Ds, BCG Three Stages, Gartner's Six Steps or Cognizant's Four Pillars. The analysis should establish clear digital transformation objectives relevant to organisational functions such as operations, ICT and marketing, while using organisational evidence, academic research and practical examples to justify the proposed strategic direction. The second component is an academic poster evaluating two disruptive technologies or techniques expected to affect the chosen organisation, its industry, employment and the labour market over the next five years. Potential technologies include Artificial Intelligence and Machine Learning, 5G connectivity, the Internet of Things, robotics, drone delivery, blockchain, augmented reality and virtual reality. The poster should combine academic literature with real-world examples to demonstrate the likely opportunities, challenges and wider organisational implications of technological disruption. The final component focuses on digital leadership. Students analyse and recommend two suitable leadership approaches for managing and supporting digital transformation. Relevant approaches may include agile leadership, ethical-tech leadership, people-oriented leadership, hyperaware agile leadership and Goleman's leadership styles. Overall, the assessment integrates digital strategy, innovation, emerging technologies and leadership. The wider module also covers digital transformation strategies, data-driven decision-making, leadership in the digital age, artificial intelligence in contemporary business, digital risk management and planning for the future. Reference style: Harvard. Main report word limit: 1,500 words. Poster: A4 size with no specified word count.

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Cyber Security / Digital Forensics 3,500 words

Digital Forensics Portfolio: Disk Image, Memory and Windows Registry Investigation

This Level 7 Digital Forensics portfolio requires students to conduct a structured forensic investigation across disk, memory and Windows Registry evidence. The assessment develops practical investigative skills alongside professional forensic reporting and requires students to preserve evidence integrity, document methodology, interpret technical artefacts and communicate findings clearly. The portfolio is equivalent to 3,500 words and forms 60% of the module assessment. The first part involves analysing a seized USB forensic image in the context of a suspected insider involved in video piracy and potentially more serious criminal activity. Students must follow ACPO digital forensic best practice, verify image integrity before and after examination, maintain a clear chain of custody, identify significant device properties and artefacts, and justify conclusions using evidence. Tools such as FTK Imager and Autopsy may be used, alongside other appropriate forensic utilities. The scenario also requires examination of an encrypted VeraCrypt container discovered within the evidence. The second part focuses on memory forensics using a Windows memory dump. Students are expected to reconstruct process execution timelines, examine suspicious processes including PowerShell, Notepad and AtomicService, identify process owners and SIDs, extract relevant memory artefacts and produce an executive summary suitable for a non-technical audience. The third part requires an extensive Windows Registry and system artefact investigation. Students examine operating-system information, users, network configuration, login activity, suspicious files, executable and DLL creation, BAM records, Prefetch artefacts, scheduled tasks, persistence mechanisms and evidence of potentially malicious activity. Findings must be supported with screenshots, extracted artefacts or other appropriate evidence. The assignment must use the university's official portfolio template and be submitted as a PDF. The template organises the work into forensic image analysis, memory investigation and Windows Registry investigation sections. For a public Reference Library entry, this title is better than simply “Digital Forensics Coursework” because it clearly communicates the three major technical components of the work.

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Customer Experience / Business Management / Marketing 2,500 words

Customer Experience Strategy Analysis in the Global Quick-Service Restaurant Industry

This MSc assessment requires students to produce a 2,500-word business report critically analysing the customer experience (CX) strategy of a major organisation operating within the global quick-service restaurant industry. Students must select one company from Starbucks, McDonald’s or Chipotle Mexican Grill and focus their analysis on the organisation's customer experience strategy within one clearly identified country. The report is written from the perspective of a CX consultant and is intended for the chosen company's Board of Directors. The assessment first requires students to explain the concept and strategic importance of customer experience and evaluate how CX contributes to business success. This includes examining the mutually beneficial relationship between the organisation and its customers, assessing the impact of CX on business and financial performance, and using company-specific examples to demonstrate how customer experience can create competitive advantage. A major part of the report focuses on the organisation's ability to deliver a seamless omnichannel customer journey. Students must develop a research-informed customer persona covering customer profile, goals, pain points and motivations, and then construct a detailed customer journey map addressing stages, needs, activities, feelings, pain points and opportunities for improvement. The effectiveness of the organisation's existing customer journey must then be critically evaluated and practical areas for improvement identified. Students must also evaluate three customer experience metrics, examining their benefits, limitations and relevance to the selected brand. The final part of the report critically evaluates the organisation's customer-centric culture in the context of increasing digitalisation, with specific consideration of CX leadership, CX governance and one additional critical success factor such as people, organisational structure, strategy, process or innovation. The report must be presented in an academic business-report format with an automatic table of contents, page numbering, consistent formatting and 1.5 line spacing. Academic sources, figures, diagrams and independent research must be appropriately cited using the Harvard Referencing System. Important for the public library: because the brief allows three different companies and any country, keep the Reference Library title generic unless the uploaded past work is specifically based on one brand. If the actual completed assignment is on Starbucks, McDonald’s or Chipotle, I can give you a more specific title and key topics for that exact work.

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Business Management / Business Consultancy / Supply Chain Management 5,000 words

Digital Transformation for Sustainable Supply Chain Transparency at Unilever: Blockchain, IoT and AI

This MSc Business Consultancy Project requires students to undertake an evidence-based consultancy investigation addressing a strategically significant business problem within a selected organisation. The assessment is designed to replicate professional consultancy practice by requiring students to define a focused organisational challenge, critically analyse secondary evidence, apply relevant management frameworks, evaluate stakeholder implications and develop practical recommendations that create value for the client organisation. The final submission is a 5,000-word consultancy report, including a 500-word employability reflection. The reference project examines Unilever Plc and focuses on the challenge of improving transparency and traceability across its complex global supply chain. Particular attention is given to the potential application of Blockchain, Internet of Things (IoT) and Artificial Intelligence (AI) to support real-time traceability, predictive analytics, ethical sourcing, operational efficiency and sustainability performance. The project considers how digital transformation could support Unilever's sustainability objectives while responding to growing regulatory, environmental and stakeholder pressures. The consultancy report requires a structured analysis consisting of an executive summary, introduction, company/client overview, clearly defined business problem and consultancy focus, and detailed stakeholder analysis. Students then undertake an extensive data analysis and framework application section using two or three relevant theoretical models alongside credible secondary evidence, industry reports, company data, tables, charts or Excel outputs. Findings should be interpreted critically and linked back to appropriate strategic or management frameworks while incorporating ethical and sustainability considerations. The project concludes with three prioritised, actionable and evidence-based recommendations, including consideration of implementation risks, barriers and anticipated benefits. Students must also critically reflect on the employability skills developed through the consultancy project, including research, analysis, problem-solving, project management, communication, professional behaviour, ethical awareness and future career development. All academic and professional evidence must be cited using the Harvard Referencing System, with emphasis on credible and current sources.

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Computing / Artificial Intelligence / Digital Transformation / Management Consultancy 7,000 words

AI Readiness and Programme Adoption Strategy for the NewFutures: AI Programme at Northumbria University London

This postgraduate consultancy project focuses on developing an AI readiness, skills-development and programme-adoption strategy for students and recent alumni at Northumbria University London. The project supports the university’s participation in NewFutures: AI, a funded AI skills and career-readiness programme offering a four-week online course covering responsible AI foundations and specialist pathways in Marketing and Communications, Finance and Accounting, Business Operations and Logistics, Administration, and ICT and Technical Support. The central consultancy challenge is to understand the AI literacy, confidence, readiness and training needs of Northumbria University London students and alumni and translate that evidence into a practical implementation and outreach strategy. The client aims to reach approximately 12,000 students and recent alumni and support a target of 6,000 LMS registrations during the 2026–2027 programme period. The project requires primary and secondary research into AI readiness, demand for different AI-skilling pathways and barriers to participation such as awareness, time, perceived value and accessibility. The consultancy team is also expected to benchmark comparable initiatives and use research evidence to develop recommendations appropriate to different academic disciplines and student and alumni groups. The implementation component focuses on designing an evidence-based outreach and adoption campaign, including appropriate communication channels, messaging, timing, incentives, faculty engagement and stakeholder participation. Recommended channels may include email campaigns, newsletters, social media, student services, events, learning platforms and alumni communications. The project also requires an implementation timeline and indicative budget for the 2026–2027 programme period. The wider assessment develops professional consultancy capability through business and requirements analysis, research methodology, ethical research practice, practical implementation, testing and strategic recommendations. The project charter additionally establishes milestones for research design, data collection, analysis, report development, review and presentation, together with defined responsibilities for project management, data analysis, AI expertise and stakeholder communication. The individual component complements the consultancy work through critical reflection on personal contribution, skills development, decision-making, problem-solving, communication, collaboration, technical capability, innovation and continuous professional development.

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Global Supply Chain Management / Operations Management 2,494 words

Global Supply Chain and Operations Performance: Company Case Analysis

This Level 7 individual assignment requires students to produce a 2,500-word company case analysis examining an important operations performance issue within a real organisation. Students may select an organisation of any size, type, industry or country and must concentrate their analysis on one operations performance objective: cost, dependability, flexibility, speed or quality. The report requires students to identify the current challenges faced by the chosen organisation in relation to the selected performance objective and critically examine those challenges using relevant operations and supply chain management theories, concepts and analytical tools. Rather than providing only a descriptive account of organisational activities, students are expected to apply appropriate theoretical frameworks to the case and evaluate how these concepts could contribute to improved organisational and supply chain performance. A significant component of the assignment involves critically discussing appropriate best practices for performance improvement. These may include digital technologies, sustainability practices or other relevant operational and supply chain approaches. Students should connect these practices directly to findings from their chosen company case and assess their practical relevance, opportunities and limitations. Academic literature and appropriate real-world evidence should be used throughout to substantiate the analysis and recommendations. The assignment evaluates students' ability to analyse supply chain and operations problems, apply academic theory to organisational practice, and develop evidence-based conclusions and practical recommendations. The marking rubric places substantial emphasis on analysis and discussion (30%), application of theory (30%), and conclusions and recommendations (30%), with the remaining 10% allocated to presentation, logical structure, English expression and correct referencing. The report must use Harvard referencing, include a contents page, and follow the specified academic formatting requirements, including Arial size 12, 1.5 line spacing and A4 pages with 2.54 cm margins.

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Digital Marketing and Analytics 2,974 words

Digital Marketing Analytics Consultancy Report — Accessibility, Social Listening and Web Analytics for an E-Commerce Storefron

This assessment places the student in a consultancy role advising a global brand's e-commerce storefront on its digital marketing strategy. It is written as a business report rather than an academic essay, in the third person, with appendices used only for supporting material that the main text explicitly refers the reader to. The work is built from four analytical layers, and the mark weighting tells students where the effort belongs. The first is an accessibility and user experience evaluation of the client site benchmarked against two self-selected industry competitors — the selection itself must be justified, and the analysis must cover both technical and content dimensions using recognised evaluation tools rather than impressionistic browsing. The second layer, carrying the smallest weight, is social listening: which networks the brand and its competitors are active on, what engagement looks like, which content types perform, and who the influential voices are. This is paired with qualitative sentiment or content analysis of actual social comments, on the premise that quantitative engagement metrics describe reach but not attitude. The third and heaviest layer is quantitative analysis using a web analytics platform, typically via a demonstration account that provides real traffic data. Students query the data themselves and extract performance insights. Comparison across time periods is what separates competent work from strong work here: a single-period snapshot describes, while period-over-period comparison explains. The fourth layer, weighted equally with the analytics, asks the student to synthesise everything into strategic recommendations for the coming year, covering areas such as customer segments, user behaviour, landing and exit page performance, search ranking positions, advertising budget allocation, marketing channels and e-commerce performance. This section is where most marks are lost. Recommendations that do not trace back to a specific finding from the preceding analysis read as generic digital marketing advice, and rubrics at this level penalise exactly that. Presentation requirements are prescriptive — specified font, size, line spacing and justified margins — and the report is expected to be concise despite the breadth of analysis, which makes ruthless selection of evidence part of the task. A draft submission point for similarity checking is usually provided separately from the marked final submission. Assessments of this type commonly require a signed declaration itemising any AI tool use, with an explicit confirmation that AI was not used to generate sentences, paragraphs or sections. Our support on assessments of this type is guidance-based. Typical areas of help include: explaining how accessibility evaluation tools are used and what their output actually shows, clarifying the difference between reporting analytics figures and interpreting them, showing how a recommendation should be traced to a specific finding, advising on report structure and appendix discipline, checking APA consistency, and reviewing a student's own draft against the published rubric.

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Marketing 4,000 words

Strategic Recovery Marketing Report — Diagnosing Underperformance and Building a Sustainable Turnaround Plan

This is a case-based marketing assessment in which the student selects a real business that is currently underperforming or failing, diagnoses the causes, and builds a full marketing recovery strategy for it. The company choice is the student's own but requires module team approval, so the selection itself carries risk: a firm with thin public disclosure will starve the analysis, while an over-documented household name invites description rather than diagnosis. The deliverable is a formal report of around four thousand words, excluding references and appendices, referenced in APA 7. Appendices can carry supporting data, models and supplementary analysis, but not core content — a common way marks are lost is pushing substantive argument into an appendix to stay within the word limit. The report has two linked halves that students often treat as separate. The first is diagnostic: why is this business underperforming? This demands explicit application of marketing theory rather than a narrative of the company's troubles assembled from press coverage. The second is prescriptive: a recovery strategy that follows from the diagnosis. Recommendations that could have been written without the analysis — refresh the brand, invest in digital, improve customer experience — score poorly regardless of how well they are expressed. Where this module differs from a generic strategic marketing assessment is the sustainability and ethics dimension. The learning outcomes centre on sustainable marketing, social responsibility, and the intersection of marketing technology with sustainable practice. The marking criteria reward conclusions that show awareness of ethical and sustainability dimensions at every band above a pass. A recovery plan built purely on cost and revenue logic will therefore underperform against the rubric even if it is commercially sensible. The strongest submissions treat sustainability as part of the recovery mechanism rather than a section appended at the end. Assessments of this type increasingly sit within a tiered AI policy. Where a permissive tier applies, students may use AI tools for idea generation, structuring, source discovery, summarising notes, and proofreading or feedback — but not for producing the analysis itself — and must declare which tools were used and how, usually in a table placed before the reference list. Students are also expected to retain evidence of how their thinking developed, such as version histories or drafts, which can be requested if misconduct is suspected. Our support on assessments of this type is guidance-based. Typical areas of help include: advising on company selection and data availability, explaining how a diagnostic framework should structure an argument, showing the difference between descriptive and evaluative use of theory, clarifying how sustainability criteria are actually assessed in a marking rubric, checking APA 7 consistency, and reviewing a completed draft against the published criteria.

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Operations and Supply Chain Management 1,800 words

Strategic Sourcing and Supply Chain Resilience Under Global Uncertainty — A Firm-Level Critical Evaluation

This type of postgraduate coursework asks students to take a single real firm — a British company, or a multinational with substantial UK operations — and critically evaluate how its sourcing and supply chain strategy has adapted to a decade of sustained disruption: the pandemic, geopolitical conflict, tariff volatility, and departure from the European single market. The analytical scope is broad but the depth expectation is narrow. Students choose one or two themes rather than surveying all of them: insourcing versus outsourcing and location decisions; single versus multi-sourcing across supplier segments or regions; how supplier selection and monitoring criteria have shifted toward reliability and geographic proximity; alignment between sourcing decisions and wider corporate objectives; supplier and customer relationship management under cross-border friction; inventory tactics such as stockpiling and safety stock repositioning; digital adoption for visibility and compliance; sustainable sourcing under cost pressure; or risk management around currency, customs and compliance. The evidence base is deliberately mixed. Alongside academic literature, students are expected to draw on annual reports, shareholder briefings, company statements, practitioner journals and recent news coverage — with a minimum spread of credible sources across both categories, and some of the non-academic material drawn from the most recent year so the analysis reflects current firm behaviour rather than historical commentary. At least one theoretical framework from the module or the wider literature must be applied to the firm's decisions, and at least one recent documented practice must be examined with specific sourcing. Two requirements distinguish strong submissions. The first is criticality: the brief explicitly separates evaluation from description, and marks weight critical analysis most heavily. Reporting what a firm did is not the task; assessing whether it was the right response, and what opportunities and risks it created, is. The second is the recommendation — at least one specific, actionable proposal with steps, anticipated obstacles, expected outcomes, and a clear line back to the firm's own stated goals. A generic suggestion to "diversify suppliers" fails this test; a costed, sequenced proposal grounded in the firm's actual constraints does not. Word-count conventions are stricter than students often expect: in-text references, tables, illustrations and front matter typically count, while appendices and the reference list do not. Our support on assessments of this type is guidance-based. Typical areas of help include: narrowing a firm and theme so the analysis fits the word limit, explaining the difference between description and critical evaluation with worked examples, clarifying how a theoretical framework should structure an argument rather than sit decoratively in a paragraph, checking source mix and Harvard referencing consistency, and reviewing a completed draft against the published assessment weightings.

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Available Model Answers (63)

Customer Experience Strategy: Critical Evaluation of a Global Mobile Phone Brand

Automated Container Deployment and Administration in the Cloud

Digital Marketing Portfolio Website: User Experience, SEO and Professional Digital Branding

Strategic Digital Marketing Campaign Planning Using the RACE Framework: Cambridge Museum of Technology

MindBand: A Creative Marketing Plan for a Mental Wellbeing Wearable in the UK Smart Device Market

Individual Reflection on Tencent’s Strategic Reorganisation and International Business Strategy

Data-Driven Marketing Analytics: Google Analytics 4 and Google Merchandise Store Campaign Analysis

Automated Container Deployment and Administration in the Cloud

Organisational Strategy and Sustainability: Strategic Evaluation of Engineers & Planners Company Ltd

Time Series Modelling Case Study: Oil Price Forecasting with ARMA and Alternative Models

Critical Review of Global Logistics: Supply Chain Strategy, Resilience and Sustainability

Smart Clinic Appointment and Patient Management System with AI-Based Demand Prediction

Leading Through Digital Change: Digital Transformation Strategy, Emerging Technologies and Leadership

Digital Forensics Investigation: USB, Memory and Windows Registry Analysis

AI Innovation Consultancy: Evaluating Artificial Intelligence Solutions for Business Problems

Secure Property Contract Exchange: Cryptographic Protocol Design, Threat Modelling and Post-Quantum Readiness

ParkaLot Enterprise Parking Garage Management System: Software Analysis, Design and Prototype Development

Airline Passenger, Ticket Price and Revenue Analysis Using Python

Digital Forensics Investigation of a USB Device: Evidence Acquisition, Analysis and Reporting

Java Group Exercise Booking and Management System for Furzefield Leisure Centre

Network Systems and Security: Ad Hoc, Cloud and Software Defined Networking Emulation

You Keep Me Sane: Social Media Growth and Digital Product Marketing Live Business Project

Artificial Intelligence and Machine Vision: Neural Network-Based Image Processing Application

Leadership in a Digital Age: Critical Self-Analysis, AI Transformation and Personal Development

Contextual Risk Assessment and Policy to Address Information Security within Supplier Agreements

Three Weekly Digital Marketing Tutorial Challenges

Leading Through Digital Change (CW1)

Managing Customer Experience – Coursework Summative Assessment

Creative Marketing Plan for a Product Gap in the Smart Wearable Device Industry

7COM1076 Network Design, Modelling and Evaluation Coursework

Digital Security Risk and Audit – Information Security Audit of ABC Air

Digital Data Acquisition, Recovery and Analysis – Autonomous Vehicle Forensics

Network Security Evaluation and Monitoring – Reconnaissance, Incident Response and APTs

Cryptography – Secure Land Transaction Contract Exchange Protocol

Reflective Analysis of Entrepreneurial Capabilities and Development: The GymBuddy Venture

Cryptography – Secure Contract Exchange Protocol

Secure Design and Development – PixelForge Nexus (UITS)

Emerging Technology and Cloud Computing – SafeCloud Project

Strategic Evaluation of Hindustan Unilever Limited (HUL): Organisational Strategy and Sustainability

Strategic Evaluation and Analysis of Hindustan Unilever Limited (HUL)

Enhancing Sustainable Supply Chain Practices through Digital Transformation: A Case Study of Unilever Plc

Consultancy Project Proposal

Digital Transformation Report – Leading Through Digital Change

Contemporary Issues in Business (BS729) — Reflective Portfolio: Case Trends, Stakeholder Perspectives and Management Frameworks

Digital Marketing Analytics (BS783) — GA4 Performance Analysis and 90-Day Campaign Strategy for the Google Merchandise Store

Data Design Management (BS514) — Data Strategy Consultancy: Relational Database Design, SQL Implementation and Pipeline Transformation

Strategic Sourcing and Supply Chain Resilience Under Global Uncertainty

AI-Augmented Digital Forensics Workflow Audit: Feasibility and Risk Assessment of ForensiScan AI

Safaricom Business Hub: Strategic B2B Digital Payment Platform for East African SMEs

Systems Analysis and Design with UML – Individual Systems Design Assignment

Contemporary Computing and Digital Technologies: AI Agents Hackathon Reflective Report

Starbucks Labour Relations and Unionisation: Strategic Business Consultancy Analysis

Wireless, Cloud and Software Defined Networking: Network Modelling, Emulation and Evaluation

Examining the Role of Cross-Cultural Communication in Enhancing Team Efficiency: Evidence from McDonald’s Multicultural Workforce in London

Leading Through Digital Change: Digital Transformation Report and Future Technology Poster

Digital Forensics Portfolio: Disk Image, Memory and Windows Registry Investigation

Customer Experience Strategy Analysis in the Global Quick-Service Restaurant Industry

Digital Transformation for Sustainable Supply Chain Transparency at Unilever: Blockchain, IoT and AI

AI Readiness and Programme Adoption Strategy for the NewFutures: AI Programme at Northumbria University London

Global Supply Chain and Operations Performance: Company Case Analysis

Digital Marketing Analytics Consultancy Report — Accessibility, Social Listening and Web Analytics for an E-Commerce Storefron

Strategic Recovery Marketing Report — Diagnosing Underperformance and Building a Sustainable Turnaround Plan

Strategic Sourcing and Supply Chain Resilience Under Global Uncertainty — A Firm-Level Critical Evaluation